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<front>
<journal-meta>
<journal-id>0874-5560</journal-id>
<journal-title><![CDATA[Ex aequo]]></journal-title>
<abbrev-journal-title><![CDATA[Ex aequo]]></abbrev-journal-title>
<issn>0874-5560</issn>
<publisher>
<publisher-name><![CDATA[Associação Portuguesa de Estudos sobre as Mulheres - APEM]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0874-55602008000200004</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Women’s work: the Measurement and the Meaning]]></article-title>
<article-title xml:lang="pt"><![CDATA[O Trabalho das mulheres: Mensuração e Significado]]></article-title>
<article-title xml:lang="fr"><![CDATA[La mesure de l’emploi des femmes: vers une compréhension des enjeux]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bould]]></surname>
<given-names><![CDATA[Sally]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gavray]]></surname>
<given-names><![CDATA[Claire]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
<xref ref-type="aff" rid="A04"/>
<xref ref-type="aff" rid="A05"/>
</contrib>
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<aff id="A01">
<institution><![CDATA[,INSTEAD - International Network for Studies in Technology, Environment, Alternatives, Development CEPS - Centre d'Etudes de Populations, de Pauvreté et de Politiques Socio-Economiques ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<aff id="A02">
<institution><![CDATA[,University of Delaware  ]]></institution>
<addr-line><![CDATA[Newark ]]></addr-line>
</aff>
<aff id="A03">
<institution><![CDATA[,University of Liège FERULG - Women, Education, Researches ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Belgium</country>
</aff>
<aff id="A04">
<institution><![CDATA[,University of Liège Faculty of Psychology and the Sciences of Education ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<aff id="A05">
<institution><![CDATA[,Institute of Human and Social Sciences  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<aff id="A06">
<institution><![CDATA[,School of Criminology  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2008</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2008</year>
</pub-date>
<numero>18</numero>
<fpage>57</fpage>
<lpage>83</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_arttext&amp;pid=S0874-55602008000200004&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_abstract&amp;pid=S0874-55602008000200004&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_pdf&amp;pid=S0874-55602008000200004&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Understanding the meaning of a woman’s economic activity requires an in depth understanding of the labour force concept and how it has been applied to women. This paper will examine in detail some of the issues and problems with the data available and its usage as well as the problem of cross national comparability. These issues will be explored by a close examination of the International Labour Organization’s (ILO) recommendations and definitions and yearly statistics (http://laborsta.ilo.org/). The first part of the paper will focus on the development of the labour force concept and a history of how women’s labour force participation has changed in the last 30 years using the examples of Bangladesh and Thailand. A different historical picture is found in the four European countries examined: Portugal, Spain, Belgium and France. The second part of the paper will examine factors which need to be taken into account in forming a broader understanding of women’s work in these European countries. Age, education, working hours, wages, and motherhood are examined. In view of this analysis the paper will critique the European Union goal of 60% of women working in EU countries by 2010.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Compreender o significado da actividade económica das mulheres requer a análise aprofundada do conceito de população activa e de como este tem sido aplicado às mulheres. Este artigo examina em pormenor algumas das problemáticas e limitações associadas ao uso dos dados estatísticos disponíveis e à comparabilidade entre países. Esta temática é explorada a partir de uma análise focada nas recomendações e definições da Organização Internacional do Trabalho (OIT), assim como das estatísticas anuais (http://laborsta.ilo.org/). A primeira parte do artigo centra-se no desenvolvimento do conceito de população activa e no modo como a participação laboral das mulheres se tem alterado no decurso dos últimos 30 anos, recorrendo aos casos do Bangladeche e da Tailândia. Uma perspectiva histórica diferente pode ser encontrada nos quatro países Europeus analisados: Portugal, Espanha, Bélgica e França. A segunda parte é dedicada aos factores que importa considerar de modo a que se alcance uma compreensão mais ampla do trabalho das mulheres naqueles países Europeus. Idade, educação, horas de trabalho, salários e maternidade são factores aqui relevados. O objectivo da União Europeia de alcançar uma taxa de emprego feminino de 60% nos países Europeus, até 2010, é também objecto de crítica.]]></p></abstract>
<abstract abstract-type="short" xml:lang="fr"><p><![CDATA[Comprendre l’activité économique des femmes demande de bien connaître le concept de force de travail ainsi que la façon dont il a été utilisé à propos des femmes. Cet article examinera en détail la disponibilité de données en cette matière, leur valeur et leur usage; il abordera les problèmes liés aux comparaisons internationales. Nous explorerons cette question au départ des recommandations, définitions et statistiques de l’Organisation Internationale du Travail (OIT) (http://www.ilo.org/global/lang--fr/index.htm). La première partie du document rendra compte de l’historique du concept de force de travail. Il retracera l’histoire de la participation des femmes à l’emploi et montrera, au départ des exemples du Bangladesh et de la Taïlande, l’ampleur des changements opérés sur les trente dernières années. C’est un tableau historique différent qui ressort pour les quatre pays concernés par cet article: le Portugal, l’Espagne, la Belgique et la France. La seconde partie du document examinera certains facteurs dont il est essentiel de tenir compte pour mieux comprendre l’emploi féminin dans ces pays européens: l’âge, le niveau de diplôme, les heures de travail prestées, le niveau du salaire et les maternités. Cette analyse débouchera sur un avis critique concernant l’objectif fixé par l’Union Européenne d’arriver à un taux d’emploi féminin de 60% d’ici 2010.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[women’s work]]></kwd>
<kwd lng="en"><![CDATA[employment]]></kwd>
<kwd lng="en"><![CDATA[labour force participation]]></kwd>
<kwd lng="en"><![CDATA[EU employment goals]]></kwd>
<kwd lng="pt"><![CDATA[trabalho feminino]]></kwd>
<kwd lng="pt"><![CDATA[emprego]]></kwd>
<kwd lng="pt"><![CDATA[população activa]]></kwd>
<kwd lng="pt"><![CDATA[objectivos de emprego da UE]]></kwd>
<kwd lng="fr"><![CDATA[emploi]]></kwd>
<kwd lng="fr"><![CDATA[emploi des femmes]]></kwd>
<kwd lng="fr"><![CDATA[participation à la force de travail]]></kwd>
<kwd lng="fr"><![CDATA[objectifs européens en matière d’emploi]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p><b>Women’s work: the Measurement and the Meaning</b></p> 	     <p align="right"><b>Sally Bould<sup>1</sup> </b></p>     <p align="right"><b>Claire Gavray<sup>2</sup></b></p>     <p align="right">&nbsp;</p>     <p align="right"><sup>1</sup>CEPS/INSTEAD, Luxembourg/University of Delaware</p>     <p align="right"><sup>2</sup>Faculty of Psychology and Education, University of    Li&egrave;ge </p>     <p>&nbsp;</p>     <p><b>Abstract</b> </p>     <p>Understanding the meaning of a woman’s economic activity requires an in depth    understanding of the labour force concept and how it has been applied to women.    This paper will examine in detail some of the issues and problems with the data    available and its usage as well as the problem of cross national comparability.    These issues will be explored by a close examination of the International Labour    Organization’s (ILO) recommendations and definitions and yearly statistics (<a href="http://laborsta.ilo.org/" target="_blank">http://laborsta.ilo.org/</a>).    The first part of the paper will focus on the development of the labour force    concept and a history of how women’s labour force participation has changed    in the last 30 years using the examples of Bangladesh and Thailand. A different    historical picture is found in the four European countries examined: Portugal,    Spain, Belgium and France. The second part of the paper will examine factors    which need to be taken into account in forming a broader understanding of women’s    work in these European countries. Age, education, working hours, wages, and    motherhood are examined. In view of this analysis the paper will critique the    European Union goal of 60% of women working in EU countries by 2010.</p> 			    <p><b>Keywords</b> women’s work, employment, labour force  			participation. EU employment goals</p> 			    ]]></body>
<body><![CDATA[<p>&nbsp;</p> 			     <p><b>Resumo</b> </p>     <p><b>O Trabalho das mulheres: Mensuração e Significado</b> </p>     <p>Compreender o significado da actividade económica das mulheres requer a análise    aprofundada do conceito de população activa e de como este tem sido aplicado    às mulheres. Este artigo examina em pormenor algumas das problemáticas e limitações    associadas ao uso dos dados estatísticos disponíveis e à comparabilidade entre    países. Esta temática é explorada a partir de uma análise focada nas recomendações    e definições da Organização Internacional do Trabalho (OIT), assim como das    estatísticas anuais (<a href="http://laborsta.ilo.org/" target="_blank">http://laborsta.ilo.org/</a>).    A primeira parte do artigo centra-se no desenvolvimento do conceito de população    activa e no modo como a participação laboral das mulheres se tem alterado no    decurso dos últimos 30 anos, recorrendo aos casos do Bangladeche e da Tailândia.    Uma perspectiva histórica diferente pode ser encontrada nos quatro países Europeus    analisados: Portugal, Espanha, Bélgica e França. A segunda parte é dedicada    aos factores que importa considerar de modo a que se alcance uma compreensão    mais ampla do trabalho das mulheres naqueles países Europeus. Idade, educação,    horas de trabalho, salários e maternidade são factores aqui relevados. O objectivo    da União Europeia de alcançar uma taxa de emprego feminino de 60% nos países    Europeus, até 2010, é também objecto de crítica.</p> 			    <p><b>Palavras-chave</b> trabalho feminino, emprego, população  			activa, objectivos de emprego da UE</p> 			    <p>&nbsp;</p> 			     <p><b>Résumé</b></p>     <p> <b>La mesure de l’emploi des femmes: vers une compréhension des enjeux.</b></p>     <p> Comprendre l’activité économique des femmes demande de bien connaître le concept    de force de travail ainsi que la façon dont il a été utilisé à propos des femmes.    Cet article examinera en détail la disponibilité de données en cette matière,    leur valeur et leur usage; il abordera les problèmes liés aux comparaisons internationales.    Nous explorerons cette question au départ des recommandations, définitions et    statistiques de l’Organisation Internationale du Travail (OIT) (<a href="http://www.ilo.org/global/lang--fr/index.htm" target="_blank">http://www.ilo.org/global/lang--fr/index.htm</a>).    La première partie du document rendra compte de l’historique du concept de force    de travail. Il retracera l’histoire de la participation des femmes à l’emploi    et montrera, au départ des exemples du Bangladesh et de la Taïlande, l’ampleur    des changements opérés sur les trente dernières années. C’est un tableau historique    différent qui ressort pour les quatre pays concernés par cet article: le Portugal,    l’Espagne, la Belgique et la France. La seconde partie du document examinera    certains facteurs dont il est essentiel de tenir compte pour mieux comprendre    l’emploi féminin dans ces pays européens: l’âge, le niveau de diplôme, les heures    de travail prestées, le niveau du salaire et les maternités. Cette analyse débouchera    sur un avis critique concernant l’objectif fixé par l’Union Européenne d’arriver    à un taux d’emploi féminin de 60% d’ici 2010.</p> 			    <p><b>Mots-clés</b> emploi, emploi des femmes, participation à la  			force de travail, objectifs européens en matière d’emploi</p> 			    ]]></body>
<body><![CDATA[<p align="left">&nbsp;</p> 			    <p><b>Introduction to the definitions...</b></p> 			    <p>Discussions of women working are now part of the landscape, not  			only of women’s studies, but of politics and policy today. In both  			the developed world of Western Europe and the developing world  			political discussions now emphasize the importance of women working  			in order to prevent poverty or to stimulate economic growth. This  			was not the case in the past where women’s work was invisible at  			least to economists and policy makers from the West (Rogers, 1980;  			Bould, 1984; Amott and Matthaei, 1996). The fact that women’s work  			is now visible is a sign of definite progress but before any other  			positive or negative conclusion can be reached it is first important  			to understand exactly how women’s economic activity is defined today  			both in the international and national contexts. This paper will  			examine closely the exact meaning, as well as the problematic of  			this definition. Future research needs to move beyond this measure  			of economic activity in order to develop a more comprehensive  			picture. This problem is reflected in the current European Union  			goal of increasing women’s employment rate to 60%.</p> 	    <p>The history of women’s reported economic activity will be reviewed for  	two developing countries, Bangladesh and Thailand and four developed western  	European countries: Portugal, Spain, Belgium and France. These countries  	were chosen to illustrate a diversity of cultures and history in the four  	developed countries and the two developing countries. The overall goal is  	not to provide the most recent data, nor to provide a broad overview of  	women’s labour force participation in many countries; these are available  	elsewhere. Rather this is a cautionary story of how the concepts of labour  	force participation and employment have been developed and measured with  	special attention to their limitations. Each country presents a unique  	history with different approaches to asking the relevant questions,  	reporting the results, and interpreting the trends in the context of the  	changing cultural expectations for women’s work force participation. Recent  	efforts of the European Union to harmonize these data are an important  	effort in enhancing cross national comparisons but even here the issues of  	women’s work force participation are very complex and often country specific.</p> 	    <p>&nbsp;</p> 	    <p><b>History of the measurement of women’s economic activity</b></p> 	    <p>Up until the mid 20th century economic activity was measured by the  	concept of «gainful worker,» asking the person to identify his or her usual  	occupation. This measure was developed in the censuses of the West during  	the period of rapid industrialization when the modern breadwinner-homemaker  	ideal was emerging. Since this «ideal family type» defined the woman,  	especially the married woman or mother, as not working, the work she did was  	often not recognized or even denied. She would not report her economic  	activity as her usual occupation since she was defined by her family status.  	The status of a woman was derived from the status of her father or husband.  	Her economic activity would remain invisible, often even to her (Gubin,  	2000; Dejours, 2003). Reinforcing this was that she was typically dependent  	on her husband/or her inheritance from her father for the bulk of her income.  	In addition, her husband’s status often depended upon his claim that he was  	the sole support of the family and that he had no need for his wife’s help  	in this task. The earliest forms of public assistance were provided to women  	whose husbands were killed in war so that they might not have to go to work  	(Gordon, 1994).</p> 	    <p>The husband’s role as sole support of the family, however, has had only a  	very brief history in the West (Bernard, 1981). Prior to the industrial  	revolution both the husband and wife were working, typically in agriculture.  	For the man it was important to have a wife who could work and contribute to  	the farm activity (e.g. Arensberg, 1937). But this picture of women’s  	essential work in agriculture was overlooked in the first measure of  	economic activity. The man reported his usual occupation as «farmer», but  	the woman would report herself as the farmer’s wife, even if she worked for  	long days in the farming business. It should be noted that all economic  	activity recorded in the data is self report, or the report of a close  	family member. This means that she is likely to report behavior which is  	consistent with the cultural expectations of her community. If a farmer’s  	wife does not report her usual occupation as farming, then her work will be  	invisible in this data. In some developing countries her current labour  	force participation may in fact be reported by another member of the  	household.</p> 	    <p>There is an excellent example of this in the southern states of the  	United States in the census of 1900. At this time more than 50% of the  	labour force was in agriculture. White women reported themselves as  	housewives, consistent with the cultural expectations of married women. In  	the African American community, however, women’s work was valued and  	recognized (Amott and Matthaei, 1996). Consequently African American women  	reported themselves as having a usual occupation in agriculture. But a close  	examination of these communities indicated that they were both poor and  	engaged primarily in agricultural work. In this situation it can be assumed  	that the white women also worked in the farms and the fields because poor  	families need the labour of all members. Every able bodied adult is  	economically active in poor families, but the labour of white women was made  	invisible by the cultural expectations (Brainerd and Miller, 1957; Lebergott,  	1966).</p> 	    <p>&nbsp;</p> 	    ]]></body>
<body><![CDATA[<p><b>The Labour force concept</b></p> 	    <p>The development of the labour force concept was the result of criticisms  	of the measure of «usual occupation» or «gainful worker». Instead of a vague  	question like «what is your occupation?», the questions have been  	standardized by the International Labour Organization (ILO) in order to more  	accurately distinguish those who are in the labour force from those who are  	not. Those who are in the labour force include those who report that they  	are working or employed in the reference week and those who report that they  	have been looking for work during a specific reference period. The labour  	force then, consists of the employed plus the unemployed. All others are  	defined as out of the labour force. A labour force participation rate is  	calculated by dividing the sum of the employed and the unemployed persons by  	the total population. Usually there is an age restriction whereby this rate  	is calculated only for all persons over age 15. A common reason for non  	participation for younger people is schooling and for older people,  	retirement. In addition there are those who are disabled and, of course,  	those who are «housewives». An important group of non participants are the  	discouraged workers who are discussed below. The term «employment rate» is  	also in widespread use and this rate is calculated by dividing the number of  	people who report that they are employed at least one hour during the  	reference week by the total population. In this case those persons who are  	unemployed are included only in the denominator, not the numerator. Usually  	the words «employed» and «working» are interchangeable and the employed also  	include the self-employed as well as those with a job but not at work during  	the reference week. Sometimes the word «working» is used to mean all of  	those in the labour force, both those employed and unemployed but this is  	not standard usage.</p> 	     <p>This new concept was developed not to make women’s work visible but to make    men’s unemployment visible. The problem of measuring unemployment was first    raised at the Second International Conference of Labour Statisticians in 1925    (<a href="http://www.ilo.org/global/" target="_blank">www.ilo.org/global/</a>). Nevertheless,    the development of this concept opened the door to the possibility of measuring    women’s work in agriculture by specifying activities which counted as «economic»    and including a measure of an unpaid family member’s work. Women did not need    to claim that they were farmers in order to have their economic activity recognized;    they could simply be the farmer’s wife who helped her husband on the farm at    least 15 hours a week. In this case the labour force concept set the stage for    a more accurate reporting of the actual work activity of rural women, especially    in agricultural work. It also improved the reporting of urban women who worked    part time or earned money with a home-based business such as providing rooms    or laundry service (cf. Amott and Matthaei, 1996). If there is no family business,    however, her unpaid work is still invisible in national accounts. An urban woman    would often raise chickens for her family’s consumption but this was not «work»    because she did not receive money for her activity.</p> 	    <p>The labour force concept, however, introduced a new bias for making  	women’s economic activity invisible. In the new effort to define economic  	activity as including the unemployed as well as the employed, it was  	generally assumed that a woman, especially a married woman would not be  	looking for work. Thus the labour force concept made men’s unemployment more  	visible, but a woman’s unemployment would very likely remain invisible. And  	even where women were actually questioned as to whether or not they were  	looking for work, this measure does not take into account the woman (or man)  	who would like a job but who does not believe that she or he could find work;  	these individuals are classified as a «discouraged worker» (discussed below).  	In labour markets where women are discriminated against, their unemployment  	is even more likely to be invisible.</p> 	    <p>&nbsp;</p> 	    <p><b>The ILO measure of «working» or did you earn a few Euros last week?</b></p> 	    <p>Employed or working, the major component of those who are defined as in  	the labour force, is a simple in or out measure. And in terms of the  	definition of employment it is minimalist. Doing something for pay only one  	hour in the week before the interview qualifies a person to be considered as  	working or employed. This definition has been criticized but so far no  	changes have been made in the data collection process. In comparisons  	between the percentage of women working and the percentage of men working it  	is important to understand that some women may be working for only a few  	hours last week. Therefore any comparisons between men’s and women’s labour  	force participation rates or men’s and women’s employment rates must be made  	with this understanding. In addition, caution is necessary in interpreting  	cross-national employment rates for women because of the wide possible  	variation in the number of hours worked by women in different countries. In  	the EU only the Netherlands has moved to an internal definition of «employment»  	requiring that the person be employed for at least 12 hours a week (Hakim,  	2000: 8).</p> 	    <p>Employment is defined, then, as persons who worked for a wage or salary  	at least one hour during the week identified as the reference period plus  	those «with a job but not at work» or persons in self employment or with an  	enterprise or an unpaid family worker who worked a minimum number of hours  	in a family enterprise. Current guidelines have become more inclusive for  	the unpaid 	family worker so that she is considered «as self-employed irrespective of  	the number of hours worked during the reference period.» But many countries  	still retain a minimum hours of work, usually 15 as an unpaid family worker  	in the family business, in order for her to qualify as working.</p> 	    <p>&nbsp;</p> 	    <p><b>Cultural expectations in developing countries: Bangladesh and Thailand</b></p> 	    ]]></body>
<body><![CDATA[<p>In the developing world a major factor of women’s labour force  	participation is working as an unpaid family worker in agriculture. Even  	with the new recognition of her unpaid family work in the ILO definition,  	the actual reported work still is very dependent upon cultural definitions  	and interpretations in terms of the respect for women’s labour. In cultures  	where women’s labour is not valued the woman herself will often report that  	she does not work and therefore her economic activity will still not be  	apparent even under the new labour force definition. And such economic  	activity will not provide her with any status.</p> 	     <p>In Bangladesh, women’s economic activity was dismissed by the colonial power,    in this case the United Kingdom. The colonial rulers believed in the homemaker    breadwinner family ideal which prevented them from seeing or valuing the labour    of Bangladeshi women. This continued after independence with development organizations    trying to impose the homemaker breadwinner family upon the Third World. W.W.    Rostow’s influential book, The Stages of Economic Growth (1961: 91) only referred    to women in a parenthetical remark about their full time duties in child care.    A women’s project in Bangladesh in the 1970s taught Bangladeshi women to make    proper wedding cakes (Kromberg and Carr cited in Rogers, 1980: 92). Given this    imposed Western cultural definition of women as homemakers and caregivers, it    is not surprising that, even with the possibility of reporting herself as an    «unpaid family worker» Bangladeshi women’s work remained invisible. In 1974    the reported labour force participation for women age 15 and over was only 3.4%    (<a href="http://laborsta.ilo.org/" target="_blank">http://laborsta.ilo.org/</a>).</p> 	     <p>In the last 3 decades women working in international development and women    scholars have pushed hard to make women’s work visible (Boserup, 1970; United    Nations 1999, United Nations 2005). One of the results of these efforts is that    there has been a dramatic increase in the reporting of women’s economic activity.    In 2000 the labour force participation rate in Bangladesh was 55.9% (<a href="http://laborsta.ilo.org" target="_blank">http://laborsta.ilo.org</a>).    The increase of women’s paid employment in factory work with globalization has    also lead to higher levels of reporting. Women who have a paid job in the formal    economy are more likely to report themselves as working.</p> 	     <p>Before concluding that the increase in reported labour force participation    by women is entirely positive, it is important to examine the situation for    those under age 20. Each country sets a minimum age for economic activity to    be counted. Of course it is true that child labour is still important in many    developing countries, including Bangladesh, often a rural child will spend at    least 15 hours a week in the family agricultural enterprise. The ILO, however,    focuses on persons 15 and over as the potentially economically active population.    But many countries still report labour force participation at younger ages.    This is the case in Bangladesh where the workforce participation of those aged    10-14 is also reported (<a href="http://laborsta.ilo.org/" target="_blank">http://laborsta.ilo.org/</a>).    Here the picture for girls and boys is disturbing. Thirty-three percent of girls    in these ages are reported as «working» and 38.9% of boys. Early marriage limits    a girls education, but not her labour force activity (Ahmed and Bould, 2004).</p> 	     <p>It is important to remember that the situation for women may be very different    in countries with different cultures and histories. While the reported rate    of women’s participation was extremely low in 1974 (3.4%) in Bangladesh, the    rate of women’s reported participation in nearby Thailand in 1970 was very high    (73.4%) (<a href="http://laborsta.ilo.org" target="_blank">http://laborsta.ilo.org</a>). The    high participation of Thai women in 1970 reflects the cultural recognition of    women’s work in agriculture. In Thailand studies point to the fact that women’s    work was valued in the traditional culture. Women are often seen as those who    are better at managing the money so, in fact, the women may control the family    business. This traditional recognition of the value of women’s work was never    distorted by colonial rulers whose vision was limited to the breadwinner-homemaker    family. Development programs in the 1980s included Thai women because their    skills were recognized. And often the woman was the primary participant as long    as the activity was compatible with childcare. (e.g. Rao, Anderson and Overholt,    1991).</p> 	    <p>In Thailand women’s labour force participation fell from 73.4% in 1970 to  	64.9% in 2000. This fall in participation, however, cannot be interpreted  	negatively. A careful examination of labour force participation by age group  	indicates that the lower women’s labour force participation in 2000 is the  	result of fewer girls aged 15-19 working. This could be best explained by  	the increase in school enrollment for girls, which suggests that the fall in  	labour force participation reflects a positive and not a negative change.</p> 	    <p>There are many different cultural expectations and values attached to  	women’s labour in the developing world so researchers need to be cautious in  	making any broad conclusion. In cultures where daughters are under the  	control of their fathers, the unmarried daughter who works in a factory may  	receive limited respect and be able to retain only a small proportion of her  	wages (Salaff, 1981; Wolf, 1992). For married women, her own wages are  	likely to give her more respect and control over her life than her work in  	her husband’s or father-inlaw’s business. A married woman may be a slave  	labourer in her father-in-law’s business (Hsiung, 1996). Globalization, in  	providing jobs for women in the formal sector, has also resulted in more  	attention to women’s labour although the result can be that women gain wages  	in dangerous and inhuman working conditions (Rosen, 2002). In general there  	is no way to make any conclusions about the status or control over her life  	that working provides a woman by the use of the ILO labour force data.  	Cultures vary enormously and the limited self-report of labour force  	statistics only say what work is visible, but not its problematic issues  	like poor working conditions. It is also important to be aware of the  	different situations of women in the same country. For example, educated  	women in Bangladesh have opportunities for professional jobs; opportunities  	brought about in part because of the efforts to mainstream gender by the  	United Nations and other international organizations (Bould, 2008). Their  	situation is quite different from that of the poorly educated factory  	workers. The labour force statistics only provide an overview, an average.  	Understanding what working means to a group of women requires in depth  	interviewing.</p> 	    <p>&nbsp;</p> 	    <p><b>The discouraged woman worker</b></p> 	    <p>In depth interviewing can also identify discouraged women workers.  	Discouraged workers, according to the ILO, are workers who would «like to  	work and are available to do so, but do not look actively for work for  	various reasons.» Of course men and women look for work primarily when they  	believe that they may be able to find work. Furthermore this measure relies  	on self-report in looking for work. Sustaining long term unemployment is  	difficult psychologically. Men, however, are more likely to continue to  	report that they are looking for work because that is considered their role;  	they usually have no other role. This is not true for older men, however,  	who with the experience of long term unemployment will report themselves «retired»  	rather than unemployed in order to save face (Bould, 1986). Married women  	still have the option of claiming the role of housewife when they believe  	that they are not likely to find work. So in situations 	of high unemployment the labour force shrinks especially because women  	simply give up looking for a job (cf. Uchitelle, 2008). A woman’s role as  	housewife gives her that option.</p> 	    ]]></body>
<body><![CDATA[<p>Thus when examining countries with high unemployment rates, such as  	happened in Eastern Europe it is important to understand that the labour  	force has shrunk and that women’s labour force participation rate has been  	more affected that men’s (Heynes, 2005). Of course when women drop out of  	the labour force it will lower the unemployment rate and lower their labour  	force participation rate. In Bangladesh most recently there are indications  	of a drop in women’s work force participation. This is probably due to the  	fact that the number of jobs available to women has shrunk and many women in  	the cities have given up the search for work.</p> 	    <p><b>Western European Industrial Societies</b></p> 	    <p>While the advancement of women is part of the Western European image, it  	is important to remember that in much of Western Continental Europe until  	the second half of the 20th century a married woman’s wages were typically  	her husband’s property. She had no independent right to her earnings and was  	subject to her husband’s authority (Bould and Schmaus, 2008). Her earnings  	could give her influence as well as provide for her in the rare case of  	divorce. Nevertheless, if her earnings reflected her husband’s inability to  	support the family then her earnings brought shame upon him. Under the  	traditional breadwinner-homemaker family model a working wife represented  	the failure of the husband at breadwinning. It was the woman with the poorer  	husband, or the disabled husband or the widow who was most likely to work (Voldman  	and Schweitzer, 2002). If she did earn an income by taking in lodgers or  	laundry her husband would probably not see that as working, or as only  	working for pin money.</p> 	    <p>Under the labour force concept one reason that a woman’s work would not  	be reported is the lack of recognition of her work by the community or by  	her husband. Another reason could be the existence of an irregular economy.  	The irregular economy includes informal work which is paid «off the books» (Ferman  	and Ferman, 1973). The transactions are in cash and not reported to tax 	authorities; there is no record for tax collection. Those who receive the  	cash may feel entitled to keep it all without paying taxes. In the context  	of a mistrust of government, persons receiving such cash would not report it  	to any government authority, even to the census or to labour force surveys.  	More recently efforts to keep informal cash earnings hidden from government  	workers are happening in places like Bulgaria. While women’s reported labour  	force activity has dropped dramatically since 1989 women are most often  	engaged in the informal cash economy to earn at least some money (Ghodsee,  	2000). The government worker who asks about earnings is not likely to be  	trusted. Overall the informal economy presents a challenge for accurate data  	collection, but the challenges are greatest where the transactions are in  	cash. There has been some attempt by the ILO to identify the informal sector  	as a statistical category but even this definition excludes the illegal  	economy which typically involves cash in the drug trade.</p> 	    <p>&nbsp;</p> 	    <p><b>The Iberian Peninsula: Portugal and Spain</b></p> 	     <p>In 1970 the labour force participation rate for Spanish women 16 and over was    17.9% (see <a href="#t1">Table 1</a>)<a name="topt1"></a>. The peak of participation    was during the ages 20-24 at 39.6%, typically in the years before motherhood.    There was also a high participation rate (36.6%) among women 15-19; these young    women were probably no longer attending school. But the very low rates for women    above the age of thirty probably reflect the strong expectation that in 1970    women with children should not «work» (Hakim, 2003) as Spain was then a very    poor country with a high proportion of the labour force still in agriculture,    poor women were no doubt working on the farms, but they or their husbands did    not report their activities as working. Their economic activity was not recognized.    No doubt the very conservative climate during the Franco years made much of    women’s work invisible (cf. Casaca and Damião, 2008).</p> 	     <p>Although in l970 Portugal reported a higher labour force participation rate    for women (24.6%) than Spain (17.9) (See <a href="#t1">Table 1</a>), this rate    still represents a substantial under-reporting of women’s work in agriculture.    The agricultural sector was quite large and poor; experience indicates that    poor women do work in agriculture but in traditional western cultures they are    discouraged from claiming this activity as work. In Portugal traditional gender    roles were set in law where husbands could restrict their wives access to professions,    read their wives mail and refuse to allow her to leave the country (Ferreira,    1998). Traditional attitudes concerning mothers and married women working persisted    in Spain until the late 1980’s (Hakim, 2003: 59). In both countries older women    who would be working on family farms in 1970 apparently under reported their    efforts; of women age 45-49 only 20% in Portugal and 14% in Spain reported working    (<a href="http://laborsta.ilo.org" target="_blank">http://laborsta.ilo.org</a>).    The higher rates of overall participation in Portugal reflect the higher rates    of participation among teenage girls. Even at younger ages 10-14 more than 10%    of girls and 13.6% of boys are reported as working in Portugal; this activity    was probably in agriculture in 1970. Data for boys and girls under 15 years    of age, however, is not included in the calculation of labour force participation    rates. Portuguese girls (and boys) under the age of 20 in 1970 had the highest    level of labour force participation rates of any of the three European countries    with data on 10-14 year olds, (<a href="http://laborsta.ilo.org" target="_blank">http://laborsta.ilo.org</a>;    this data is not available for Spain). More recent data on child labour in Portugal    indicate that this is still an important as well as a complex problem (Lopes    and Goulart, 2003; Goulart and Bedi, 2005); this recent analysis relies on special    surveys as the official labour force surveys in Portugal no longer cover persons    less than 15 years of age.</p> 	    <p>&nbsp;</p> 	    <p><b>North Western Europe: France and Belgium</b></p> 	     ]]></body>
<body><![CDATA[<p>In both France and Belgium around 1970 the women’s labour force participation    rate age 15 and over was higher than that of Portugal and Spain; 28.1% in Belgium    in 1970 and 36.2 in France in 1968 (See <a href="#t1">Table 1</a>). Nevertheless,    the participation rate of teenage girls aged 15-19 in 1970 was higher in Portugal    (44.8%) than in Belgium (34.5%) or France (31.3%). Belgium and France represent    a pattern of women’s increasing educational participation together with increasing    labour force participation. The difference between the two northern European    countries is found in the much higher rate in France as compared with Belgium    among older women. French women age 45-49 report a rate of 45% while Belgium    women age 45-49 report a rate of only 31% (<a href="http://laborsta.ilo.org" target="_blank">http://laborsta.ilo.org</a>).    This indicates that in France there was a greater acceptability of older mothers    working and that women working in a family business or farm were more likely    to have their labour acknowledged.</p> 	     <p>All four of the European countries, Spain, Portugal, France and Belgium experienced    dramatic increases in the labour force participation of women 15 and over in    the last three decades of the 20th century (see <a href="#t1">Table 1</a>).    More and more wage work in the formal economy became available to women, and    when a woman gets a pay check she is more likely to report herself as employed.    Furthermore, paid work in the formal sector is generally subject to taxation    by withholding tax. Thus there is no reason to hide the earnings from government    workers.</p>     <p>Portugal and Spain have had the most dramatic increases in reported labour    force participation where it more than doubled between 1970 and 2000. In 2000    the highest rates of women’s labour force participation are in Portugal at 52.7%.    Part of this increase in both countries probably represents the under-reporting    of women’s unpaid family labour in 1970 when a relatively high proportion of    the workforce was in agriculture but traditional expectations for women made    this work invisible. In 2000 the highest rates of women’s labour force participation    are in Portugal at 52.7% and the lowest rates are in Spain (<a href="#t1">Table    1</a>). Portuguese rates climbed rapidly in the late 1970s. Factors in the rapid    increase in rates in Portugal include the rapid growth of the service sector    and new rights for women in the civil code (Ferreira, 1998). In addition there    was the shortage of male workers due to emigration and the low wages for men    (Casaca and Damião, 2008: 6). Liberalization of gender roles and the development    of the service sector were also factors in the rapid increase in Spain, but    this occurred about a decade later that the rapid increase in Portugal.</p> 	     <p>This dramatic increase in labour force activity in all four of the countries    represents only the minimum of working one hour in the reference week and with    the possibility that women’s unemployment is underrepresented. In Spain and    Portugal women have been much more likely to be working full time in comparison    with France and Belgium. All four countries experienced increases in school    attendance and decreases in labour force participation for teenagers, 15-19,    but this trend was most dramatic in France and Belgium; the participation rate    for girls was 8.4%in Belgium and 5.9% in France in 2000 (<a href="http://www.laborsta.ilo.org" target="_blank">www.laborsta.ilo.org</a>).</p> 	     <p>The data in <a href="#t1">Table 1</a> refer to the standard ILO measure of    labour force participation age 15 and over. This measure provides only a limited    perspective of the long term trends because overall in these countries life    expectancy has also increased rapidly and with no changes in the retirement    ages, a higher proportion of those out of the labour force will be the elderly.    Since all four countries have experienced a rapid aging of their populations    in the last 3 decades their relative position is about the same although the    later years are much lower because they include those over 65.</p> 	    <p>&nbsp;</p> 	    <p><b>Recent developments</b></p> 	     <p>The 2007 data indicate that the greatest recent increase in women’s labour    force activity since 2000 has been in Spain although the Spanish rate is still    the lowest of the four countries (See <a href="#t1">Table 1</a>). This is not    surprising given recent rapid economic development in Spain. Portugal has experienced    a modest increase to 56.3% (see <a href="#t1">Table 1</a>). Increases in Belgium    and France have also been modest to 51.5 in France and 46.5 in Belgium (for    recent detailed comparisons between France, Belgium and Canada see Gavray, 2008).    Portugal still stands out as the country with the highest level of women’s labour    force participation of the 4 European countries. In fact, women’s work force    participation in Portugal in 2007 is greater than that in Sweden. Portugal,    however, still has a relatively high activity rate for teenage girls 15-19 of    14% (<a href="http://laborsta.ilo.org" target="_blank">http://laborsta.ilo.org</a>).    It is also important to remember that these numbers include all of the elderly    who are typically out of the labour force. Rates of employment and participation    increase when only those under 65 are included as in <a href="#t2">Table 2</a>.<a name="topt2"></a></p> 	     <p>The EU has set a target goal of a 60% employment rate for women aged 15-64.    This measure is calculated by restricting the numerator and the denominator    to women aged 15 to 64 only and it ignores unemployment; it does not represent    labour force activity as a whole (Gadrey, 2001). This employment goal for women    has already been met by Portugal and France (see <a href="#t2">Table 2</a>).    But one of the problems with this measure of achievement is that Portugal has    met this goal with high rates of employment in the 15-19 age group. It is not    in the interests of young women to spend their late teens at work rather than    at school. There are also indications that a similar situation exists for teenagers    in Spain, but the Spanish labour force data is collected only from the age of    16, without the 15 year olds there is no way to accurately compare Portuguese    teenagers to Spanish teenagers.</p> 	     <p>In order to understand the meaning of these employment rates it is important    to break them down by age. For the young, up to age 24 there is the importance    of school attendance. For older women it is often a question of opportunities    such as age discrimination and gender discrimination as well as possible retirement    benefits. For example, the picture of the high rates of women’s employment in    Portugal is due, in part, to the high rates among older women workers; 43.7%    of women age 55-64 are in the labour force as compared to 35.2% in France and    22.1% in Belgium. While Portuguese women are a positive example of a longer    work-life encouraged by the European Union, they no doubt reflect the Portuguese    women’s lack of access to adequate retirement pensions. In the case of Belgium,    part of the reason for the lower employment rates overall is that not only are    girls out of the labour force (92%) but also older women workers are least likely    to be working. This type of cross-national differences in young women and in    older women make the comparisons of women aged 15-64 incomplete. One way to    avoid this problem is to examine women workers only in the prime working ages    of 25-54. <a href="#t2">Table 2</a> shows that in the prime working ages women’s    employment is above the target of 60% in all four countries and above 70% in    each of the countries except Spain.</p> 	    ]]></body>
<body><![CDATA[<p>&nbsp;</p> 	    <p><b>Education and labour force participation</b></p> 	    <p>Higher education provides for job opportunities that are not available to  	those with limited schooling. Under the breadwinner-housewife model  	prevalent in the 1970s however, a married woman was not supposed to work if  	her husband could earn a good living. Since educated women were generally  	married to educated men, the ideology of the breadwinner-housewife model  	depressed her potential labour force participation in spite of her high  	educational level. On the other hand, the less educated woman married to a  	less educated man often had to work in order to have a minimum family income.  	With the possible exception of (West) Germany (Blossfeld, Drobnic and Rohwer,  	2001) this picture has changed dramatically since the 1970s and the  	emergence of the dual earner family with children.</p> 	     <p>Now the relationship between education and labour force participation for women    is similar to that of men in Western Europe. Since young women in Europe typically    spend more time in school today, they are less available for labour force activity    when they are young. <a href="#t3">Table 3</a> <a name="topt3"></a>examines    the labour force participation of women beginning at age 25-64 by educational    attainment in 2002. For both women and men in each of the four countries the    higher the education the more likely the women or man is a labour force participant.    Those with more opportunities are more likely to be working or looking for work.    In addition, persons with more education are also likely to benefit from better    health. Their labour force participation is less likely to be limited by health    impairments. This is especially true at older ages. Persons with health impairments    are more likely to experience difficulties in the labour market, and give up    the search for work and drop out of the labour force as a discouraged worker.    In addition the jobs available to women with low education are often heavy cleaning    and caring which require heavy physical labour. These jobs are hard to combine    with family life (Gavray, 2007). The opportunity costs of working for mothers    with low educational levels are likely to be high relative to the wages that    they can earn.</p> 	    <p>&nbsp;</p> 	    <p><b>Spain and Portugal: Is there a Southern model?</b></p> 	     <p>Portugal stands out as the country with the highest labour force participation    rate for women at every level of education in comparison to the other three    countries in <a href="#t3">Table 3</a>. Women’s rates with upper secondary education    and tertiary education in Portugal are almost as high as men’s. Portugal does    not fit in the Southern model which was identified using the Mediterranean countries    of Spain, Italy and Greece (Trifiletti, 1999; Wall, 2008). The overall lower    labour force participation rate in Spain as compared to Belgium reflects the    significantly lower rates among older Spanish women. This suggests that in the    future, the southern model in Spain will gradually fade as older Spanish women    reach retirement age and younger Spanish women sustain their higher labour force    participation rates as they age (cf. Hakim, 2003).</p> 	    <p>In the case of education the situation in the South is quite different  	from that in the North. Women are much less likely to have completed  	secondary school and more likely to have dropped out in Spain and Portugal  	than France or Belgium. In both Spain and Portugal there is a low level of  	educational attainment for both women and men together with a high rate of  	labour force participation in the teenage years. In the case of Portugal, if  	the level of education was increased so that fewer Portuguese women were in  	the lower education category and more were in the upper, the overall labour  	force participation rate for ages 25-65 would increase although the rate for  	teenage girls would decrease.</p> 	     <p>Women with low education have low employment rates and low labour force participation    rates (Flahaut, 2006; Gavray, 2008). If the goal is to increase the employment    of women in the future, then more attention needs to be paid to the level of    education that young women are receiving in Spain and Portugal. For Belgium    and France, however, there is a high level of attendance at the advanced secondary    level, 84.9% and 85.0% respectively (<a href="#t4">Table 4</a><a name="topt4"></a>).    The drop out rate for girls 18-25 before the beginning of secondary school is    also low, just over 12% in 2006 (<a href="http://www.insee.fr/fr/themes" target="_blank">www.insee.fr/fr/themes</a>).    For these latter countries it will be necessary to target programs specifically    at this small population of poorly educated young women to encourage further    education and/or provide targeted job training. In addition it is necessary    to enhance the quality of the jobs that are available to women with low education.</p> 	     <p>In Spain and Portugal, however, improving women’s employment prospects will    first require broad reforms of the educational system to encourage young women    (and young men) to stay longer in school. The drop out rate in Spain in 2006    for girls was 29.9% and for Portugal it is estimated to be 39.2% (<a href="http://www.insee.fr/fr/themes" target="_blank">www.insee.fr/fr/themes</a>).    Nearly 40% of Portugal’s young women age 20-24 have not attained the advanced    secondary level (<a href="#t4">Table 4</a>). This is an area where greater attention    to the schooling of girls (and boys) will be important in the future. Now the    school leaving age in Portugal is 15.</p> 	    ]]></body>
<body><![CDATA[<p>&nbsp;</p> 	    <p><b>Unemployment and education</b></p> 	     <p>For both men and women more education results in less unemployment. But there    is a greater impact for women (<a href="http://www.oecd.org/dataoecd/" target="_blank">www.oecd.org/dataoecd/</a>).    Comparing unemployment levels across nations is always problematic because the    unemployment numbers involve policy and politics; each state uses an internal    definition for its own purposes. Nevertheless, Eurostat does harmonize the data    according to the ILO standard definition, «unemployed persons are all persons    15 to 74 years of age who were not employed during the reference week, had actively    sought work during the past four weeks and were ready to begin working immediately    or within two weeks» (<a href="http://epp.eurostat.ec.europa.eu" target="_blank">http://epp.eurostat.ec.europa.eu</a>).    A country may use a different definition for internal reporting, such as a reference    period of actively seeking work for only the past week, not the past 4 weeks.    This more restricted definition will result in fewer persons reported to be    unemployed as the shorter the reference period, the less likely the individual    will have looked for work. Such «lower» unemployment rates are often popular    with governments.</p> 	     <p>In three of these countries in 2006 there is a very high rate of unemployment    for women with low education. 15.4% for Belgium, 13.5% for France and 14.1 %    for Spain; the Portuguese rate is lower at 8.8 but still higher than the rate    for women with more education (<a href="http://www.oecd.org/dataoecd/" target="_blank">www.oecd.org/dataoecd/</a>).    And this is true even though sustaining a job search is more difficult for those    with low education. Highly educated women and men will usually have a broad    network of friends and acquaintances to provide a constant opportunity to keep    up the search for work (Granovetter, 1995). In contrast, a woman with low education    is likely to use up her contacts, primarily family and friends, in a week or    so and come earlier to the conclusion that there are no jobs available and become    a «discouraged worker.»</p> 	    <p>&nbsp;</p> 	    <p><b>Employment and motherhood</b></p> 	     <p>This examination of motherhood and economic activity will be limited to women    who are employed. A key factor in understanding women’s employment patterns    for developed countries has been the impact of motherhood on employment. Traditionally,    women did not work after becoming mothers unless they had a home based business.    But different countries have different cultural expectations for mothers and    whether mothers work or not has been a key factor in explaining different employment    and labour force participation rates between countries at a similar level of    economic development (Gils and Kraaykamp, 2008). This is still true today where    a significant part of the higher rate of employment in Portugal is because Portuguese    mothers work. Nevertheless while mothers are most likely to work in Portugal,    they report the most conservative attitudes of the four countries on whether    mothers of preschoolers should stay home. In 2002 38% of mothers in Portugal    indicated this conservative attitude in contrast with only 26% in Belgium (Charles    and Cech, Forthcoming: <a href="#t1">Table 1</a>) but mothers of two or more    children in both countries had similar employment rates (<a href="#t5">Table    5</a>)<a name="topt5"></a>.</p> 	     <p>In spite of conservative attitudes noted above in Portugal (38%) and in France    (37%) the employment data indicate that for both countries women aged 25-54    who have one child are as likely to be working as women who have no children    (<a href="#t5">Table 5</a>). And for Portugal women with 2 or more children    are almost as likely to be working as women with no children. In Spain, however,    motherhood still has a strong impact on behaviour although the attitudes are    similar to those in France as 35% of Spanish women report a conservative view    on preschool children (See <a href="#t5">Table 5</a>). The fact that attitudes    are not congruent with behaviour indicate that cultural expectations may differ    from attitudes. Women in Portugal may still be expected to work especially if    they have a high education and good opportunities.</p>     <p>Overall the impact of motherhood is moderated by education. This effect showed    up in 1991, over a decade and a half ago (<a href="#t6">Table 6</a>)<a name="topt6"></a>.    Mothers aged 20-39 who have a University degree are more likely to be working    than similar mothers with only secondary education. In Spain where the overall    rate for mothers is quite low at 46.8% in l991 the employment rate for those    with university degrees is much higher at 83.9%. In Portugal education, not    motherhood, is the key factor in employment rates while in Belgium both motherhood    and education have a strong impact. The fact that motherhood has more of an    impact in Belgium than in Portugal is curious because the availability of subsidised    child care is greater in Belgium. Clearly there are other factors which influence    the employment rates for mothers in addition to economic structures and institutional    arrangements (Pettit and Hook, 2005).</p> 	     <p>The number of children is a key factor in increasing the probability of parttime    jobs in Belgium and France (Gavray, 2007). In Spain there is a very limited    impact and in Portugal none at all, but both of these countries have very low    rates of part-time work, under 17% in 2000 (Pissarides et al., 2005: Table 2.2).    Countries with very low birth rates such as Spain and Portugal women would be    expected to have higher rates of labour force participation than in countries    like Belgium and France, where mothers are much more likely to have 2 children    (Shorto, 2008). While this is true for Portugal it is not the case for Spain    which has low birth rates and low labour force participation rates.</p>     ]]></body>
<body><![CDATA[<p>In all four countries the gender gap in employment rates between men and women    aged 25-54 in 2000, increases with the addition of children (Pissarides et al.,    2005: Table 2.5). Women with fewer children are likely to have better careers    than women with more children while with men it is the contrary; highly educated    women with children have different careers than similar highly educated men    (Gavray, 2007). In addition, there still appears to be a preference among high    end employers to hire married men rather than single men.</p> 	    <p>&nbsp;</p> 	    <p><b>Gender equality in wages</b></p> 	     <p>Everywhere the men make a higher wage on average. The hourly wage differences    for those who work 15 hours or more are least among young women age 25 to 34    and greatest among women 45-54. In 1998 the gender wage ratio is lowest in Portugal    where women age 25-34 make only 86.8% of what men make (Pissarides et al., 2005:    Table 5.2). This measure furthermore does not take into account women who work    less than 15 hours a week who are likely to have the lowest hourly wage. While    the differences may be quite small in some countries, this reflects only the    wages last week or some brief reference period. In each country women are more    likely than men to have a temporary and/or part-time job rather than a permanent    full-time job. Although education benefits both men and women there is still    no equality in earnings, employment conditions or careers between very educated    men and women. Inequalities in the private sphere require women to be realistic    and strategic and this limits their choices and engagements (Marry, 2006).</p> 	    <p>To better understand the inequality between men and women in the case of  	earnings it is important to compare the lifetime earnings of women to the  	lifetime earnings for men. This is where the most significant difference  	lies (Hartmann and Whittaker, 1998). And life time earnings are more and  	more linked to the level of public and private pensions so that those with  	low lifetime earnings are at risk of poverty during retirement. A more  	accurate meaning of income and earnings is found in Titmuss’ (1962) concept  	of control of resources over time. It is now time to begin examining the  	lifetime picture for men and women and to better estimate the cost for women  	of their unpaid labour in the private sphere i.e. caregiving. Hourly wages,  	then, are a very poor indicator of labour market gender equality... The  	hours worked over the lifetime are different, differential careers result in  	different opportunities for promotion and pay increases, returns on  	investment in education differ. Measures of comparable worth all show that  	at the same skill level women are paid less. With all these factors to  	consider, a comparison of wage rates is not very meaningful (Silvera, 1998)  	except to highlight where women are still far behind, such as in Portugal.</p> 	    <p>&nbsp;</p> 	    <p><b>Equality in hours of employment between men and women</b></p> 	     <p>In looking at labour force participation rates it is always important to remember    that it is a minimalist definition of work for only one hour during the reference    week. For the four countries in 2000, Portugal has the lowest incidence of women’s    part-time work (12.6%) and Belgium has the highest at 34.4% (Pissarides et al.,    2005: Table 2.2; see also Hakim, 1997). Recent data indicate a growth in part-time    work among women (Casaca and Kovács, 2007: 114). There appears to be a north-south    divide in that for Portugal and Spain the incidence of parttime work is significantly    lower and more likely to be involuntary; more than one third of the Iberian    women part-time workers indicated that they would like full time work in 1999    (Pissarides et al., 2005, Table 4.1).</p> 	    <p>In Belgium with better child care facilities the incidence of part time  	work is greater but it is less likely to be involuntary in contrast with  	Portugal. While having two or more children does result in an increase in  	part time work for mothers in Belgium and France, it has no effect on part  	time work in Portugal (where it remains low) and a limited effect in Spain  	in 2000 (Pissarides et al., 2005, Table 2.6). In addition to part time work,  	there is another type of work available in the market place, that of  	temporary work. Together with part time work these jobs are part of the  	flexible labour force. But in Spain and Belgium more than two thirds of  	these temporary jobs are reported as involuntary by the woman; in Portugal  	41% of the temporary jobs are involuntary in 1999 (there is no data for  	France; Pissarides et al., 2005: 42).</p> 	    <p>Although the surveys on involuntary temporary work and part time work are  	not very reliable they provide a rough indicator of «flexploitation» (Casaca  	and Kovács, 2007). While economists (cf. Pissarides et al., 2005) encourage  	flexible work arrangements in order to increase women’s employment rates,  	much of this flexibility relates to what would be convenient for the  	employer not the type of work the woman would like. In Spain, for example,  	where there is a low employment rate for women, three quarters of women with  	temporary jobs would like a permanent job and more than one third of Spanish  	women working part time would like full time work. Introducing more of these  	flexible jobs in Spain is not likely to solve issues of women’s employment.  	In contrast, some national programs and cultures support part time work and  	regulate it so that it is not exploitive. In the Netherlands over 55% of  	women work part time and less than 8% report that it is involuntary. Thus  	there is the supply side for women, involving what a woman wants and what  	the cultural expectations are. On the demand side are the types of jobs  	available. Women in Spain and Portugal want full time permanent work and any  	move to flexible working conditions on the part of employers could result in  	«flexpoitation.» In Belgium newly created jobs have 	been part-time leaving women few options (Maruani, 1998). The offer of  	flexible work arrangements, however, is most problematic for women in  	low-paid jobs, and especially single parents. «When low-paid jobs are  	concerned, flexibility has most often a family-unfriendly character. In  	these cases, flexibility meant unsocial and atypical working hours and it  	actually acted as a hindrance to lone parents’ access to work» (Kroger et  	al. 2003: 40). Under the current push for liberalization and deregulation of  	labour markets (Pissarides et al., 2005) it is likely that women will lose.  	This restructuring of labour markets has resulted in the creation of «workfare»  	for women (Crespi, 2007).</p> 	    ]]></body>
<body><![CDATA[<p>&nbsp;</p> 	    <p><b>The goal of an employment rate of 60% for women aged 15-64</b></p> 	     <p>The European Union’s goal of increasing women’s employment to 60% for women    age 15 to 65 a misplaced one. Portugal had already achieved this goal by 2000    and was joined by France in 2007. But Portugal achieves this goal with high    rates of employment for girls 15-19. The first priority for these girls should    be access to education. Including this young group creates a false sense of    accomplishment since the price they pay for working instead of going to school    is a lifetime one. In Portugal educational opportunities are also restricted    by child labour (<a href="http://www.eurofound.europa.eu/eiro/2002/07/word/pt0207105fpt.doc" target="_blank">http://www.eurofound.europa.eu/eiro/2002/07/word/pt0207105fpt.doc</a>).    The goal of 60% employment is also misplaced in countries like Belgium where    this goal will soon be met but with a very high portion of part time work. Recent    data indicate that 40.5% of women’s employment in Belgium is part time (Casaca    and Kovács, 2007: 114). In addition there is the problem of temporary work,    especially since much of it is appears to be involuntary.</p> 	     <p>In the discussions on providing access to employment for women, the situation    of older women has not received sufficient attention. They remain the largest    underutilized labour force in these four countries. The employment rates for    women are already low in the ages 55-59, especially in Spain and Belgium at    35.2 and 32.5 respectively in 2004. Portugal and France have higher rates, 50%    in these age group. But for all countries these rates drop precipitously at    ages 60-64. In Belgium only 10% of these women are working. Similarly low rates    are found in France (12.4%) and Spain (18.8%). Portuguese women have the highest    rate at 36.1% (<a href="http://epp.eurostat.ec.europa.eu/extraction/" target="_blank">http://epp.eurostat.ec.europa.eu/extraction/</a>,    2004). This is surprising because at ages 55-64 child care is no longer an issue.    Are these women engaged in elder care and/or care of their grandchildren? In    countries in Southern Europe the limited availability of assistance with these    tasks can reduce the availability of women in these ages for employment (Casaca    and Damião, 2008). In Spain, where succeeding cohorts will have had more labour    market experience, will they also have to drop out for caregiving tasks?</p> 	    <p>It is likely that the next big hurdle in increasing women’s employment  	rates lies in how to provide better access to the labour markets for older  	women. While it is often the case that younger women benefit by lookism that  	same factor can work against older women. In addition older women may have  	more physical limitations in terms of the work that they are able to do. If  	employers are not sensitive to restructuring jobs for older women workers  	those workers may have to quit. An additional question is what about the  	older worker who has a temporary job? At older ages, both men and women find  	it difficult to get a new job and unemployment lasts longer. This is another  	area where more research by in depth interviews is necessary.</p> 	    <p>&nbsp;</p> 	    <p><b>Women’s labour other than «economic»</b></p> 	    <p>Understanding women’s paid work is only part of the picture. The other  	part is women’s unpaid work. It might be important to develop a measure of  	leisure time which would no doubt indicate that women work in both paid and  	unpaid work more hours a week than men. If women’s care work and housework  	were included, for example, the picture of her working week would be very  	different (Hochschild, 1989). Overall the burden of women’s paid and unpaid  	work is greater than the man’s. While he is likely to work more hours in  	paid work, her unpaid work is much greater. Cultural and structural  	constraints limit this gendered choice (Aïach, Cèbe, Cresson and Philippe,  	2001).</p> 	     <p>While the official statistics are a good place to begin cross national comparisons    they do not provide the meaning of work for women or the value of a women’s    work. And they do not take into account the total labour of women in society.    Much of women’s labour is not counted; «persons who produce services for the    consumption of their households which at present are not accounted for in national    productions statistics and therefore are not considered as employed» (<a href="http://www.ilo.org/globa./What_we_do/Statistics" target="_blank">www.ilo.org/globa./What_we_do/Statistics</a>,    p 2). The ILO document does claim that «Their contribution to the well being    of the populations is increasingly recognized» but many researchers doubt this    claim. For example a woman who takes care of her own preschool children at home    is not considered employed but if she takes care of her neighbors preschool    children for pay then she is employed. So far there have been limited attempts    to include women’s productive but unpaid work into national accounts. This aspect    of women’s work for household consumption does present serious problems in data    collection and interpretation.</p> 	    <p>&nbsp;</p> 	    ]]></body>
<body><![CDATA[<p><b>Conclusion</b></p> 	    <p>Caution needs to be exercised in the interpretation of government data on&nbsp;  	women’s work behavior. In the agricultural sector the reporting of an unpaid  	family worker can be problematic. A woman counted as «employed» may have  	only received pay for one hour of work in the reference week. Not only does  	her work behavior reflect cultural expectations but she may also report only  	behavior which is consistent with cultural expectations, especially in  	traditional societies.</p> 	    <p>The problem of cultural expectations is compounded in cross national  	research where cultural expectations for women differ. The movement of women  	into paid employment in the formal sector, however, increases the  	probability that they will report themselves as working but participation in  	paid employment has also been impacted by the cultural expectations for  	mothers since it takes place away from the household and children. The  	influence of cultural expectations can be very powerful as in the case of  	Portugal. The lack of adequate child care and the lower levels of education  	of Portuguese women would lead to the prediction of low labour force  	participation rates in the prime working ages (25-54). But the situation is  	quite the opposite.</p> 	    <p>The role of education and of the educational system is important in  	understanding women’s work behavior. In fact, the impact of motherhood has  	diminished and the impact of education has increased so that education has a  	greater impact than motherhood in Portugal. The importance of the education  	of young women requires a modification of the statistical target of 60% of  	women 	employed at ages 15-64 in current European labour policy. In particular the  	inclusion of young women (and young men) ages 15 to 20 as a target goal for  	working defeats the requirements of modern labour markets for a highly  	educated work force. And women with low education are particularly  	vulnerable.</p> 	    <p>At the other end of the age structure the level of employment of women  	aged 55-59 needs closer scrutiny. These low rates reflect generation effects,  	especially lower education levels as well as strong cultural expectations  	for mothers in this cohort. But part of this low rate of employment, is  	likely to be due to age discrimination. And women tend to be more affected  	by age discrimination than men. The issue of discrimination against older  	women brings to the forefront the demand side. What kind of jobs are being  	offered to women? Initially efforts need to be made in eliminating  	involuntary temporary work and involuntary part time work for women. In  	addition even the presumed «voluntary» character of women’s work decisions  	must be examined in light of the many constraints. Where are the real  	choices regarding the family-friendly environments?</p> 	    <p>While the official statistics are a good place to begin cross national  	comparisons they do not tell us the meaning of work for women or the value  	of a women’s work in society. Researchers who use the available labour force  	data need to be more explicit about the limitations especially in cross  	national research. There is a need for cross national in-depth interviews in  	order to understand 	the nature of women’s work and its meaning for the women themselves as well  	as problematic working conditions. Only this in-depth perspective can lead  	to specifying policies which can enable women to have a fuller work and  	family life and to reduce gender inequality.</p> 	    <p>&nbsp;</p> 	    <p>&nbsp;</p> 	    <p><b>Annexes</b></p> 	 <table width="80%" border="0" align="center" cellpadding="0" cellspacing="0" id="table4">   <tr> 			     <td colspan="4" bgcolor="#C0C0C0">     <p align="center"><b><a name="t1"></a><a href="#topt1">Table          1</a>: Women’s work force participation in selected Western European Countries          Age 15 and over (%)</b></td> 		</tr> 		<tr> 			<td width="25%" align="center" bgcolor="#808080" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0">&nbsp;</td> 			<td width="25%" align="center" bgcolor="#808080" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			<font color="#FFFFFF"><b>1970**</b></font></td> 			<td width="25%" align="center" bgcolor="#808080" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			<font color="#FFFFFF"><b>2000***</b></font></td> 			<td width="25%" align="center" bgcolor="#808080" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			<font color="#FFFFFF"><b>2007***</b></font></td> 		</tr> 		<tr> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			    ]]></body>
<body><![CDATA[<div style="padding: 1px"> 				Portugal</div> 			</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			24.6</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			52.7</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			56.3</td> 		</tr> 		<tr> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">Spain *</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			17.9</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			40.7</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			48.4</td> 		</tr> 		<tr> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">France</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			36.2</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			49.1</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			51.5</td> 		</tr> 		<tr> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0">Belgium</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			28.1</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			43.6</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			46.5</td> 		</tr> 		<tr> 			     <td width="99%" colspan="4" bgcolor="#C0C0C0"><b>Source:</b> ** 1970 data        are from the ILO (<a href="http://laborsta.ilo.org/" target="_blank">http://laborsta.ilo.org/</a>)        but for France the year is 1968: Portuguese data for 1970 are from a Population        Survey</td> 		</tr> 		<tr> 			     <td width="99%" colspan="4" bgcolor="#C0C0C0">*** For 2000 and 2007 activity        rates are from Eurostat. (<a href="http://epp.eurostat.ec.europa.eu/extraction/" target="_blank">http://epp.eurostat.ec.europa.eu/extraction/</a>)</td> 		</tr> 		<tr> 			<td width="99%" colspan="4" bgcolor="#C0C0C0"><b>Notes:</b> * Spain  			measures the labour force for age 16 and over. This is likely to  			increase the rate since so few 15 year olds are actually working</td> 		</tr> 	</table> 	    <p>&nbsp;</p> 	 <table width="80%" border="0" align="center" cellpadding="0" cellspacing="0" id="table5">   <tr> 			     <td colspan="3" bgcolor="#C0C0C0">     <p align="center"><b><a name="t2"></a><a href="#topt2">Table          2</a>: Employment rates for women in 2007 by age groupings</b></td> 		</tr> 		<tr> 			<td width="33%" bgcolor="#808080" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0">&nbsp;</td> 			<td width="33%" bgcolor="#808080" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			<font color="#FFFFFF"><b>Employment rates ages 15-64</b></font></td> 			<td width="33%" bgcolor="#808080" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			<font color="#FFFFFF"><b>Employment rates ages 25-54</b></font></td> 		</tr> 		<tr> 			<td width="33%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom-style: solid; border-bottom-width: 1px"> 			Portugal</td> 			<td width="33%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom-style: solid; border-bottom-width: 1px"> 			61.9</td> 			<td width="33%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom-style: solid; border-bottom-width: 1px"> 			74.9</td> 		</tr> 		<tr> 			<td width="33%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom-style: solid; border-bottom-width: 1px"> 			Spain</td> 			<td width="33%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom-style: solid; border-bottom-width: 1px"> 			54.7</td> 			<td width="33%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom-style: solid; border-bottom-width: 1px"> 			65.6</td> 		</tr> 		<tr> 			<td width="33%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom-style: solid; border-bottom-width: 1px"> 			France</td> 			<td width="33%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom-style: solid; border-bottom-width: 1px"> 			60.0</td> 			<td width="33%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom-style: solid; border-bottom-width: 1px"> 			76.2</td> 		</tr> 		<tr> 			<td width="33%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			Belgium</td> 			<td width="33%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			55.3</td> 			<td width="33%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			72.2</td> 		</tr> 		<tr> 			<td colspan="3"> 			    <div style="background-color: #C0C0C0"> <b>Source:</b> Eurostat (<a href="http://epp.eurostat.ec.europa.eu/extraction/" target="_blank">http://epp.eurostat.ec.europa.eu/extraction/</a>)</div> 			</td> 		</tr> 	</table> 	    <p>&nbsp;</p> 	 <table width="80%" border="0" align="center" cellpadding="0" cellspacing="0" id="table6">   <tr> 			     <td colspan="7" bgcolor="#C0C0C0">     <p align="center"><b><a name="t3"></a><a href="#topt3">Table          3:</a> Labour force participation rates by educational attainment in 2002          for ages 25-64 and men and women.</b></td> 		</tr> 		<tr> 			<td width="33%" align="center" bgcolor="#808080" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0">&nbsp;</td> 			<td width="33%" align="center" bgcolor="#808080" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0" colspan="3"> 			<font color="#FFFFFF"><b>Men</b></font></td> 			<td width="33%" align="center" bgcolor="#808080" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0" colspan="3"> 			<font color="#FFFFFF"><b>Women</b></font></td> 		</tr> 		<tr> 			<td width="18%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080">&nbsp;</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080"> 			<font color="#FFFFFF"> 			Less than    <br> 			upper    <br> 			secondary    <br> 			school</font></td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080"> 			<b><font color="#FFFFFF">Upper    <br> 			secondary    ]]></body>
<body><![CDATA[<br> 			education</font></b></td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080"> 			<font color="#FFFFFF"> 			Tertiary    <br> 			education</font></td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080"> 			<font color="#FFFFFF"> 			Less than    <br> 			upper    <br> 			secondary    <br> 			school</font></td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080"> 			<b><font color="#FFFFFF">Upper    <br> 			secondary    <br> 			education</font></b></td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080"> 			<b><font color="#FFFFFF">Tertiary    <br> 			education</font></b></td> 		</tr> 		<tr> 			<td width="18%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			    <div style="padding: 1px"> 				Belgium</div> 			</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			68.8</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			87.6</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			90.4</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			39.8</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			68.9</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			83.3</td> 		</tr> 		<tr> 			<td width="18%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			France</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			75.8</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			88.1</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			91.9</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			56.7</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			75.7</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			84.4</td> 		</tr> 		<tr> 			<td width="18%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			Spain</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			83.5</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			90.1</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			91.9</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			42.3</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			67.6</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			83.1</td> 		</tr> 		<tr> 			<td width="18%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			Portugal</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			86.2</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			88.1</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			93.6</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			66.3</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			84.0</td> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			91.1</td> 		</tr> 		<tr> 			<td width="99%" colspan="7"> 			    <div style="background-color: #C0C0C0"> 				<b>Source: </b>OECD Employment Outlook 2004, Statistical annex</div> 			</td> 		</tr> 		</table> 	    ]]></body>
<body><![CDATA[<p>&nbsp;</p> 	 <table width="80%" border="0" align="center" cellpadding="0" cellspacing="0" id="table7">   <tr> 			     <td colspan="8" bgcolor="#C0C0C0">     <p align="center"><b><a name="t4"></a><a href="#topt4">Table          4</a>: Young women age 20-24 who have attained at an upper secondary level          of education</b></td> 		</tr> 		<tr> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080"> 			    <p align="right"><b><font color="#FFFFFF">Year</font></b></td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080" rowspan="2"> 			<font color="#FFFFFF">2001</font></td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080" rowspan="2"> 			<font color="#FFFFFF">2002</font></td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080" rowspan="2"> 			<font color="#FFFFFF"><b>2003</b></font></td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080" rowspan="2"> 			<font color="#FFFFFF"> 			2004</font></td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080" rowspan="2"> 			<font color="#FFFFFF">2005</font></td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080" rowspan="2"> 			<font color="#FFFFFF"><b>2006</b></font></td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080" rowspan="2"> 			<font color="#FFFFFF"><b>2007</b></font></td> 		</tr> 		<tr> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080"> 			    <p align="left"><b><font color="#FFFFFF">Country</font></b></td> 		</tr> 		<tr> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			Zone euro    <br> 			(15 pays)</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			76.0</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			76.2</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			76.2</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			77.3</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			77.3</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			77.7</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			78.0</td> 		</tr> 		<tr> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			    <div style="padding: 1px"> 				Belgium</div> 			</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			85.2</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			84.8</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			84.6</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			84.8</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			85.3</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			85.6</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			84.9</td> 		</tr> 		<tr> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			Spain</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			71.4</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			70.3</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			69.2</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			68.4</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			68.5</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			69.0</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			67.3</td> 		</tr> 		<tr> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			France</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			83.2</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			82.8</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			83.0</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			83.3</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			85.4</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			85.0</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			85.0</td> 		</tr> 		<tr> 			<td width="11%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			Portugal</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			53.0</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			52.9</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			55.5</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			58.7</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			57.5</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			58.6</td> 			<td width="9%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			60.8</td> 		</tr> 		<tr> 			<td width="99%" colspan="8"> 			    <div style="background-color: #C0C0C0"> 				<b>Source: </b>Insee, Enquetes Emploi (annual average after  				2003); calculation: DEPP</div> 			</td> 		</tr> 		</table> 	    <p>&nbsp;</p> 	 <table width="80%" border="0" align="center" cellpadding="0" cellspacing="0" id="table8">   <tr> 			     <td colspan="4" bgcolor="#C0C0C0">     <p align="center"><b><a name="t5"></a><a href="#topt5">Table          5</a>: Employment rates for women aged 25-54 by number of children in          2000</b></td> 		</tr> 		<tr> 			<td width="25%" align="center" bgcolor="#808080" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0">&nbsp;</td> 			<td width="25%" align="center" bgcolor="#808080" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			<font color="#FFFFFF"><b>No children</b></font></td> 			<td width="25%" align="center" bgcolor="#808080" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			<font color="#FFFFFF"><b>One child</b></font></td> 			<td width="25%" align="center" bgcolor="#808080" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			<font color="#FFFFFF"><b>Two or more children</b></font></td> 		</tr> 		<tr> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			    <div style="padding: 1px"> 				Portugal</div> 			</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			72.6</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			78.5</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			70.3</td> 		</tr> 		<tr> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">France</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			73.5</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			74.1</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			58.8</td> 		</tr> 		<tr> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">Belgium</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			76.0</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			71.6</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			69.3</td> 		</tr> 		<tr> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0">Spain</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			54.6</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			47.6</td> 			<td width="25%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0"> 			43.3</td> 		</tr> 		<tr> 			<td width="99%" colspan="4" bgcolor="#C0C0C0"><b>Source:</b>  			Pissarides, P., P. Garibaldi,C. Olivetti, B. Petrongolo and E.  			Wasmer (2005)    ]]></body>
<body><![CDATA[<br> 			Table 2.5: 20.</td> 		</tr> 		</table> 	    <p>&nbsp;</p> 	 <table width="80%" border="0" align="center" cellpadding="0" cellspacing="0" id="table9">   <tr> 			     <td colspan="9" bgcolor="#C0C0C0">     <p align="center"><b><a name="t6"></a><a href="#topt6">Table          6</a>: Women’s employment rates according to level of qualification and          motherhood status, 20-39 age group, EU 12, 1991</b></td> 		</tr> 		<tr> 			<td width="20%" align="center" bgcolor="#808080" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0"> 			    <div style="border: 4px solid #C0C0C0"> &nbsp;</div> 			</td> 			<td width="40%" align="center" bgcolor="#808080" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0" colspan="4"> 			<font color="#FFFFFF"><b>Non mothers</b></font></td> 			<td width="40%" align="center" bgcolor="#808080" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0" colspan="4"> 			<font color="#FFFFFF"><b>Mothers</b></font></td> 		</tr> 		<tr> 			<td width="20%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080"> 			<font color="#FFFFFF"><b>Family situation    <br> 			Education level</b></font></td> 			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080" rowspan="2" valign="top"> 			<font color="#FFFFFF"><b>Secondary    <br> 			education</b></font></td> 			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080" rowspan="2" valign="top"> 			<font color="#FFFFFF"><b>Further    <br> 			education</b></font></td> 			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080" rowspan="2" valign="top"> 			<font color="#FFFFFF"><b>University    <br> 			Degree</b></font></td> 			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080" rowspan="2" valign="top"> 			<font color="#FFFFFF"><b>Total</b></font></td> 			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080" rowspan="2" valign="top"> 			<font color="#FFFFFF"><b>Secondary    <br> 			education</b></font></td> 			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080" rowspan="2" valign="top"> 			<font color="#FFFFFF"><b>Further    <br> 			education</b></font></td> 			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080" rowspan="2" valign="top"> 			<font color="#FFFFFF"><b>University    ]]></body>
<body><![CDATA[<br> 			Degree</b></font></td> 			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080" rowspan="2" valign="top"> 			<font color="#FFFFFF"><b>Total</b></font></td> 		</tr> 		<tr> 			<td width="20%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0" bgcolor="#808080"> 			<font color="#FFFFFF"><b>Country</b></font></td> 		</tr> 		<tr> 			<td width="20%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0"> 			    <div style="padding: 1px">     				Belgium</div>     			</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			72.1%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			88.8%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			94.6%</td>     ]]></body>
<body><![CDATA[			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			83.9%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			58.2%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			76.9%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			86.1%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			70.3%</td>     ]]></body>
<body><![CDATA[		</tr>     		<tr>     			<td width="20%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			Spain</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			62.2%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			81.0%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			92.2%</td>     ]]></body>
<body><![CDATA[			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			73.7%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			39.1%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			61.2%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			83.9%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			46.8%</td>     ]]></body>
<body><![CDATA[		</tr>     		<tr>     			<td width="20%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			France</td>     			         <td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">            na</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			na</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     ]]></body>
<body><![CDATA[			na</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			84.3%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			na</td>     			         <td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">            na</td>     			         <td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">      ]]></body>
<body><![CDATA[      na</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			69.9%</td>     		</tr>     		<tr>     			<td width="20%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			Portugal</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			78.7%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     ]]></body>
<body><![CDATA[			80.0%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			98.1%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			81.7%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			72.7%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			86.8%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     ]]></body>
<body><![CDATA[			96.2%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 1px solid #C0C0C0">     			76.9%</td>     		</tr>     		<tr>     			<td width="20%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0">     			Total E12</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0">     			77.1%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0">     ]]></body>
<body><![CDATA[			85.9%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0">     			93.6%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0">     			83.7%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0">     			48.3%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0">     			60.0%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0">     ]]></body>
<body><![CDATA[			76.2%</td>     			<td width="10%" align="center" style="border-left: 4px solid #C0C0C0; border-right: 4px solid #C0C0C0; border-bottom: 4px solid #C0C0C0">     			57.8%</td>     		</tr>     		<tr>     			<td width="99%" colspan="9">     			    <div style="background-color: #C0C0C0"> 				<b>Source: </b>Bulletin on Women and Employment in the E.U.  				1995, N.6: 8.<b>    <br> 				Note:</b> n.a. = Data not available for France</div> 			</td> 		</tr> 		</table> 	    <p>&nbsp;</p> 	    ]]></body>
<body><![CDATA[<p>&nbsp;</p> 			    <p><b>References</b></p> 	    <!-- ref --><p>Ahmed, Sania S. and Bould, Sally. (2004), «One able daughter is worth 10  	illiterate sons», Journal of Marriage and Family, 66, pp. 1332-1341.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000275&pid=S0874-5560200800020000400001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><p>Aïach, Pierre; Cèbe, Claudine; Cresson, Geneviève; Philippe, Claudine (eds.)  	(2001), Femmes et Hommes dans le Champ de la Santé, Rennes, Editions ENSP.</p> 	    <p>Amott, Teresa and Matthaei, Julie (1996), Race, Gender and Work, Boston,  	South End Press.</p> 	    <p>Arensberg, Conrad. (1937), The Irish Countryman, New York, Macmillan.</p> 	    <p>Bernard, Jessie (1981), «The good-provider role: Its rise and fall,» The  	American Psychologist, 36, 1, pp. 1-12.</p> 	    <p>Blossfeld, Hans-Peter, Drobinc, Sonia and Rohwer, Gotz (2001), «Spouses’  	employment careers in (West) Germany,» in P. Blossfeld and S. Drobnic (eds.),  	Careers of Couples in Contemporary Societies. Oxford, Oxford University  	Press, pp. 53-73.</p> 	    <p>Boserup, Ester (1970), Women’s Role in Economic Development. New York, St  	Martin’s Press.</p> 	    <p>Bould, Sally (1984), «Development and the family: Third world women and  	inequality,» International Journal of Sociology and Social Policy, December,  	pp. 38-51.</p> 	    ]]></body>
<body><![CDATA[<p>Bould, Sally (1986), «Factors influencing the choice of social security  	early retirement benefits: The case for unemployment,» Population Research  	and Policy Review, 5 (3), pp. 217-235.</p> 	    <p>_____ (2008), «Critical resources for poor families: A critique of the  	United Nations Millennium Development Goals», in M. Ahmad (ed.) Poverty  	Reduction: Policies and Global Integration, Lahore, Pakistan, ISOSS  	Publications (forthcoming).</p> 	    <p>Bould, Sally and Schmaus, Gunther (2008), «The European Union roadmap  	(2006-2010): Equal economic independence for women and men? (in Italian),  	Sociologia e Politiche Sociali, 11, pp. 35-57.</p> 	    <p>Brainerd, Carol P. and Miller, Ann R. (1957), «Labor force estimates» in  	Everett S. Lee, Ann R. Miller, Carol P. Brainerd, Richard Esterlin, (eds.),  	Population Redistribution and Economic Growth: United States, 1870–1950. Vol.  	1., Philadelphia, American Philosophical Society.</p> 	    <p>Casaca, Sara Falcão and Kovács, Ilona (2007), «Flexibilidad y desigualdad  	en el trabajo: tendencias y alternativas europeas,» Sociología del Trabajo,  	61, Madrid, Siglo XXI, pp. 99-124.</p> 	    <p>Casaca, Sara Falcão and Damião, Sonia (2008), «Gender equality in the  	labour market and the role of the welfare state in Southern Europe,» Paper  	presented at the IV Symposium of the Network Gender and Well-being, Madrid,  	25-27 June.</p> 	    <p>Charles, Maria and Cech, Erin (forthcoming), «Varieties of motherhood:  	Women’s beliefs about maternal employment in 32 Countries,» in Judith Treas  	and Sonja Drobnic, (eds.) Dividing the Domestic: Men, Women, and Housework  	in Cross-National Perspective.</p> 	    <p>Crespi, Isabella (2007), «Gender mainstreaming and reconciliation  	policies in Europe,» in Isabella Crespi (ed.) Gender Mainstreaming and  	Family Policy in Europe, Macerata, Italy, Edizioni SIMPLE, pp. 13-96.</p> 	    <p>Dejours, Christophe (2003), L’Évaluation du Travail à l’Épreuve du Réel.  	Critique des Fondements de l’Évaluation, Dijon, INRA Editions.</p> 	     <p>EUROFOUND [on line] Available at <a href="http://www.eurofound.europa.eu/eiro/2002/07/word/pt0207105fpt.doc" target="_blank">http://www.eurofound.europa.eu/eiro/2002/07/word/pt0207105fpt.doc</a>    (Accessed on 10/05/2008).</p> 	     ]]></body>
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<body><![CDATA[<p>Gornick, Janet C. and Meyers, Marcia K. (2003), Families that Work, New  	York, Russell Sage Foundation.</p> 	    <p>Goulart, Pedro and Bedi, Arjun S. (2005), «Child labour and educational  	success in Portugal», ISS Working Paper Series, n.º 412.</p> 	    <p>Granovetter, Mark S. (1995), Getting a Job, Chicago, University of  	Chicago Press, 2nd Ed.</p> 	     <p>Gubin, Eliane (2000), «Geneviève Fraisse, Les femmes et leur histoire; Michelle    Perrot, Les Femmes ou les silences de l’Histoire», Clio, 12, [on line] Available    at <a href="http://clio.revues.org/index199.html" target="_blank">http://clio.revues.org/index199.html</a>,    mis en ligne le 20 mars 2003 [Accessed on 10/05/2008 ]</p> 	    <p>Hakim, Catherine (1997), «A Sociological perspective on part-time work,»  	in Blossfeld, H. and Hakim C., Between Equalization and Marginalization,  	Oxford, Oxford University Press, pp. 22-70.</p> 	    <p>Hakim, Catherine (2000), Work-lifestyle Choices in the 21st Century,  	Oxford, Oxford University Press.</p> 	    <p>_____ (2003), Models of the Family in Modern Societies, Andershot,  	England Ashgate Publishing Limited.</p> 	     <p>Hartmann, Heidi and Whittaker, Julie (1998), The Male/Female Wage Gap: Lifetime    Earnings Losses, Washington D.C., Institute for Women’s Policy Research, [on    line] Available at <a href="http://www.iwpr.org" target="_blank">www.iwpr.org</a> [Accessed    10/05/2008].</p> 	    <p>Heynes, Barbara (2005), «Emerging inequalities in Central and Eastern  	Europe», Annual Review of Sociology, 31, pp. 163-197.</p> 	    <p>Hochschild, Arlie. R. with Machung, Anne (1989), The Second Shift, New  	York, Viking.</p> 	    ]]></body>
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<body><![CDATA[<p>Rao, Aruna, Anderson, Mary B. and Overholt, Catherine A. (1991), «Thailand:  	The Saraburi dairy farming project», in Aruna Rao and Catherine A. Overholt  	(eds.), Gender Analysis in Development Planning, West Hartford, Conn,  	Kumarian Press.</p> 	    <p>Rogers, Barbara (1980), The Domestication of Women, New York, Tavistock.</p> 	    <p>Rosen, Ellen. I. (2002), Making Sweatshops, Berkeley, University of  	California Press.</p> 	    <p>Rostow, Walt W. (1961), The Stages of Economic Growth, London, The  	Cambridge University Press.</p> 	    <p>Salaff, Janet W. (1981), Working Daughters of Hong Kong, New York,  	Cambridge University Press.</p> 	    <p>Shorto, Russel (2008), «No babies?», New York Times, 29 June.</p> 	    <p>Silvera, Rachel (1998) «Les salaires, toutes choses inégales par ailleurs»,  	in Maruani, Margaret (ed.), Les Nouvelles Frontières de l’Inégalité, Hommes  	et Femmes sur le Marché du Travail, Paris, La Découverte-Mage, pp. 127-138.</p> 	    <p>Titmuss Richard M. (1962), Income Distribution and Social Change, London,  	George Allen and Unwin.</p> 	    <p>Trifiletti Rossana (1999), «Southern European welfare regimes and the  	worsening position of women», Journal of European Social Policy, 9, 1, pp.  	49-64.</p> 	    <p>Uchitelle, Louis (2008), «Women are now equal as victims of poor economy,»  	New York Times, 22 July.</p> 	    ]]></body>
<body><![CDATA[<p>United Nations (1999), 1999 World Survey on the Role of Women in  	Development, New York, United Nations.</p> 	    <p>United Nations Research Institute for Social Development UNRISD (2005),  	Gender Equality, Geneva, UNRISD.</p> 	    <p>Voldman, Danièle and Schweitzer, Sylvie (2002), Les Femmes ont Toujours  	Travaillé: Une Histoire du Travail des Femmes aux XIXe et XXe siècles,  	Paris, Editions Odile Jacob.</p> 	    <p>Wall, Karin (2008), «Leave Policy Models and the Articulation of Work and  	Family Life in Europe: a comparative perspective» (in Italian) Sociologia e  	Politiche Sociali, 11, 1, pp. 59-85.</p> 	    <p>Wolf, Diane L. (1992), Factory Daughters: Gender. Household Dynamics and  	Rural Industrialization in Java, Berkeley, University of California Press.</p> 	    <p>&nbsp;</p> 			     <p><b>Sally Bould</b>, PhD. is Senior Research Fellow, Centre for the Study of    Population, Poverty and Socio-economic Policy (CEPS/INSTEAD) Differdange, Luxembourg    and Professor Emerita of Sociology, University of Delaware, Newark. She has    published numerous articles in the areas of work, family, poverty and ageing,    with a focus on policy. She received a Fulbright Award in 2006 to study issues    of women, aging and families in Europe. Her most recent publications include:    «The European Union Roadmap (2006-2010): Equal economic independence for women    and men? (in Italian with Gunther Schmaus) Sociologia e politiche sociali 11,    3, 2008; «Women as Workers and as Carers under Communism and After: The Case    of Bulgaria» (with Setfka Koeva) International Review of Sociology 17 No. 2.    2007; «The Need for International Family Policy: Mothers as Carers and as Workers.»    in L. Haas and S. K. Wisendale (eds.) Families and Social Policy: National and    International Perspectives. New York: Haworth Press 2006.</p>     <p>E-mail: <a href="mailto:salbould@udel.edu">salbould@udel.edu</a> </p> 	    <p><b>Claire Gavray</b> is founder member of FERULG – Women, Education,  	Researches, University of Liège (Belgium) where she received her PhD in  	Sociology. She shares her activities of teaching and research between the  	Faculty of Psychology and the Sciences of Education, the Institute of Human  	and Social Sciences and the School of Criminology. Her main research  	concerns the evolution of the labour market, employment, well-being and life  	conditions by gender. Recent publications include: Gavray, C. (dir.) (2008).  	Femmes &amp; Mobilités, Marcinelle, Cortext and Gavray, C. (2008), «Genre,  	emploi et marché du travail: un tableau contrasté », In Cornet, A., Laufer,  	J. et S. Belghiti-Mahut (Ed)., GRH et genre: les Défis de l’égalité  	hommesfemmes, Paris, Vuibert, 5-24.</p> 	     <p>E-mail: <a href="mailto:cgavray@ulg.ac.be">cgavray@ulg.ac.be</a> </p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p> 			     <p><i>Artigo recebido em 31 de Maio de 2008 e aceite para publicação em 8 de Agosto    de 2008.</i></p>            ]]></body><back>
<ref-list>
<ref id="B1">
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<name>
<surname><![CDATA[Ahmed]]></surname>
<given-names><![CDATA[Sania S.]]></given-names>
</name>
<name>
<surname><![CDATA[Bould]]></surname>
<given-names><![CDATA[Sally]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[One able daughter is worth 10 illiterate sons]]></article-title>
<source><![CDATA[Journal of Marriage and Family]]></source>
<year>2004</year>
<volume>66</volume>
<page-range>1332-1341</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
