<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0874-5161</journal-id>
<journal-title><![CDATA[Investigação Operacional]]></journal-title>
<abbrev-journal-title><![CDATA[Inv. Op.]]></abbrev-journal-title>
<issn>0874-5161</issn>
<publisher>
<publisher-name><![CDATA[APDIO - Associação Portuguesa de Investigação Operacional]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0874-51612006000100005</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[Inferência estatística dos estimadores de eficiência obtidos com a técnica fronteira não paramétrica de DEA: Uma metodologia de Bootstrap]]></article-title>
<article-title xml:lang="en"><![CDATA[Statistical inference of efficiency estimators obtained with the DEA nonparametric frontier technique: A Bootstrap methodology]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Marques]]></surname>
<given-names><![CDATA[Rui Cunha]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Silva]]></surname>
<given-names><![CDATA[Duarte]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidade Técnica de Lisboa Instituto Superior Técnico Centro de Sistemas Urbanos e Regionais]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<aff id="A02">
<institution><![CDATA[,Rave - Rede Ferroviária de Alta Velocidade  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2006</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2006</year>
</pub-date>
<volume>26</volume>
<numero>1</numero>
<fpage>89</fpage>
<lpage>110</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_arttext&amp;pid=S0874-51612006000100005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_abstract&amp;pid=S0874-51612006000100005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_pdf&amp;pid=S0874-51612006000100005&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[The efficiency measurement of decision making units is a key-task in contemporary societies. Despite the existence of several methodologies with this aim none of them is clearly superior. One of the most used is the non-parametric technique of data envelopment analysis (DEA). The DEA method has many advantages, therefore, being very popular and widely adopted. However, it doesn’t allow for the results statistical inference, which can constrain its use. This document provides some insights for that debate, discussing and applying the DEA technique to 70 water services in Portugal. Later, a re-sampling (bootstrap) methodology is applied to the results attained by DEA, enabling its statistical inference. The quality of the values obtained by the bootstrap depends much on the average efficiency level and on its dispersion. That is, if the average inefficiency gap and its dispersion are considerable, the results will be far from the ones wished. Nevertheless, under the opposite circumstances, the results are interesting and satisfactory, surpassing the traditional drawbacks pointed at DEA.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[A medição de eficiência de unidades organizatórias ou unidades de decisão constitui uma tarefa-chave nas sociedades contemporâneas. Para a sua prossecução existem várias metodologias disponíveis embora nenhuma seja claramente superior. Um dos métodos mais conhecidos, e aqui analisado, consiste na técnica não paramétrica data envelopment analysis (DEA). Esta técnica possui diversas vantagens, sendo, portanto muito popular e largamente adoptada. Todavia, a DEA não permite a inferência estatística dos resultados obtidos, o que condiciona o seu uso empírico. Este documento fornece alguns contributos para esse debate, discutindo e aplicando a técnica DEA a 70 serviços de água em Portugal. Posteriormente, é empregue uma metodologia de bootstrap (reamostragem) aos estimadores de eficiência obtidos com a DEA, permitindo a sua inferência estatística. A qualidade dos resultados alcançados com o bootstrap depende muito do nível de eficiência médio e da sua dispersão. Isto é, quando a ineficiência média é considerável, tal como a sua dispersão, os resultados estão longe do desejável. Porém, quando o valor da ineficiência é reduzido e a sua amplitude é baixa os resultados são satisfatórios e bem interessantes, ultrapassando alguns dos problemas tradicionais apontados à DEA.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Efficiency]]></kwd>
<kwd lng="en"><![CDATA[DEA]]></kwd>
<kwd lng="en"><![CDATA[Statistical Inference]]></kwd>
<kwd lng="en"><![CDATA[Bootstrap]]></kwd>
<kwd lng="en"><![CDATA[Water Services]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p align="center" > <strong>Inferência estatística dos estimadores de eficiência    obtidos com a técnica fronteira não paramétrica de DEA. Uma metodologia de <i>Bootstrap</i></strong></p>     <p align="center" > Rui Cunha Marques <sup>†</sup></p>     <p align="center" > Duarte Silva <sup>‡</sup></p>     <p align="center" > <sup>† </sup> Centro de Sistemas Urbanos e Regionais</p>     <p align="center" > Instituto Superior Técnico </p>     <p align="center" > Universidade Técnica de Lisboa</p>     <p align="center" > <a href="mailto:rcmar@civil.ist.utl.pt">rcmar@civil.ist.utl.pt</a></p>     <p align="center" ><sup> ‡ </sup> Rave</p>     <p align="center" > <a href="mailto:dnsilva@rave.pt">dnsilva@rave.pt</a></p>  	    <p >&nbsp; 	</p> 	    ]]></body>
<body><![CDATA[<p> 	 	      <p >&nbsp; </p>     <p align="center" ><b> &nbsp;Statistical inference of efficiency estimators obtained    with the DEA nonparametric frontier technique. A Bootstrap methodology</b></p>     <p align="center" ><b> Abstract</b></p>     <p align="justify" >The efficiency measurement of decision making units is a key-task    in contemporary societies. Despite the existence of several methodologies with    this aim none of them is clearly superior. One of the most used is the non-parametric    technique of data envelopment analysis (DEA). The DEA method has many advantages,    therefore, being very popular and widely adopted. However, it doesn’t allow    for the results statistical inference, which can constrain its use. This document    provides some insights for that debate, discussing and applying the DEA technique    to 70 water services in Portugal. Later, a re-sampling<i> </i> (bootstrap) methodology    is applied to the results attained by DEA, enabling its statistical inference.    The quality of the values obtained by the bootstrap depends much on the average    efficiency level and on its dispersion. That is, if the average inefficiency    gap and its dispersion are considerable, the results will be far from the ones    wished. Nevertheless, under the opposite circumstances, the results are interesting    and satisfactory, surpassing the traditional drawbacks pointed at DEA.&nbsp;</p>  </p>     <p ><b>Keywords:</b> Efficiency, DEA, Statistical Inference, Bootstrap, Water    Services</p>     <p align="justify" >&nbsp; </p>     <p >&nbsp; </p>     <p align="center" > <b>Resumo</b></p>     <p align="justify" >A medição de eficiência de unidades organizatórias ou unidades    de decisão constitui uma tarefa-chave nas sociedades contemporâneas. Para a    sua prossecução existem várias metodologias disponíveis embora nenhuma seja    claramente superior. Um dos métodos mais conhecidos, e aqui analisado, consiste    na técnica não paramétrica data envelopment analysis (DEA). Esta técnica possui    diversas vantagens, sendo, portanto muito popular e largamente adoptada. Todavia,    a DEA não permite a inferência estatística dos resultados obtidos, o que condiciona    o seu uso empírico. Este documento fornece alguns contributos para esse debate,    discutindo e aplicando a técnica DEA a 70 serviços de água em Portugal. Posteriormente,    é empregue uma metodologia de bootstrap (reamostragem) aos estimadores de eficiência    obtidos com a DEA, permitindo a sua inferência estatística. A qualidade dos    resultados alcançados com o bootstrap depende muito do nível de eficiência médio    e da sua dispersão. Isto é, quando a ineficiência média é considerável, tal    como a sua dispersão, os resultados estão longe do desejável. Porém, quando    o valor da ineficiência é reduzido e a sua amplitude é baixa os resultados são    satisfatórios e bem interessantes, ultrapassando alguns dos problemas tradicionais    apontados à DEA.</p>     ]]></body>
<body><![CDATA[<p >&nbsp; </p>     <p ><b> </b>Texto completo apenas disponível em PDF. </p>     <p > Full text only in PDF.</p>     <p >&nbsp;</p>     <p > </p>     <p><b>Referências</b></p>     <p > </p>     <!-- ref --><p >   Banker, R. (1993) Maximum Likelihood, Consistency and Data Envelopment  Analysis: a Statistical Foundation, Management Science, Vol 39, No 10, pp.  1265-1273.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=329136&pid=S0874-5161200600010000500001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><p >  Banker, R. (1996) Hypothesis Tests using Data Envelopment Analysis,  Journal of Productivity Analysis, Vol 7, No 2/3, pp. 139-159.</p>     <p >  Banker, R., Charnes, A. e Cooper, W. (1984) Some Models for Estimating  Technical and Scale Inefficiencies in Data Envelopment Analysis, Management  Science, Vol 30, No 9, pp. 1078-1092. </p>     ]]></body>
<body><![CDATA[<p >   Bosworth, D., Stoneman,  P. e Thanassoulis, E. (1996) The Measurement  of Comparative Total Efficiency in the Sewerage and Water industry: an  Exploratory Study, Office of Water Services, UK. </p>     <p >  Burns, P., Huggins, M., Riechmann, C. e Weyman-Jones, T. (2000) Choice  of Model and Availability of Data for the Efficiency Analysis of Dutch Network  and Supply Businesses in the Electricity Sector, Frontier Economics, Dienst  uitvoering en toezicht Elektriciteitswet, Holanda.</p>     <p >  Charnes, A., Cooper, W. e Rhodes, E. (1978) Measuring the Efficiency of  Decision Making Units, European Journal of Operational Research, Vol 2, No 6,  pp. 429-444. </p>     <p >  Charnes, A., Cooper, W., Lewin, A. e Seiford, L. (1994) Data Envelopment  Analysis. Theory, methodology and applications, Kluwer Academic Publishers, USA. </p>     <p >  Coelli, T., Prasada, R. e Battese, G. (1998) An Introduction to Efficiency  and Productivity Analysis, Kluwer Academic Publishers, USA. </p>     <p >   Cooper, W., Seiford, L. e Tone, K. (2000) Data Envelopment Analysis. A  Comprehensive Text with Models, Applications, References and DEA-Solver  Software, Kluwer Academic Publishers, USA.</p>     <p >  Efron, B. (1979) Bootstrap Methods: another Look at the Jackknife,  Annals of Statistics, Vol 7, No 1, pp. 1-26.</p>     <p >  Efron, B. (1982) The Jacknife, the Bootstrap and other Resampling Plans,  Monograph No. 38, Society for Industrial and Applied Mathematics, USA.</p>     <p >   Efron, B. e Tibshirani, J. (1993) An Introduction to the Bootstrap,  Chapman and Hall, UK. </p>     <p >   Färe, R. e Primont,  D. (1987) Efficiency Measures for Multiplant Firms with Limited Data, In  Measurement in Economics: Theory and Applications in Economic Indices, Ed. por  W. Eichhorn e E. Diewert, Physica-Verlag, Alemanha, pp. 177-186.</p>     ]]></body>
<body><![CDATA[<p>  Farrell, M. (1957) The Measurement of Productive Efficiency, Journal of  the Royal Statistical Society, Vol 120A, No 3, pp. 353-290. </p>     <p > Ferrier, G. e Hirschberg, J. (1997) Bootstrap Confidence Intervals for  Linear Programming Efficiency Scores: with an Illustration using Italian Banking  Data, Journal of Productivity Analysis, Vol 8, No 1, pp. 19-33.</p>     <p >   Grosskopf, S. (1986) The Role of the Reference Technology in Measuring  Productive Efficiency, Economic Journal, Vol 96, No 382, pp. 499-513.</p>     <p> Grosskopf, S. (1996) Statistical Inference and Nonparametric Efficiency:  a Selective Survey, Journal of Productivity Analysis, Vol 7, No 2/3, pp.  161-176.</p>     <p > Hall, P. (1986) On the Number of Bootstrap Simulations Required to  Construct a Confidence Interval, Annals of Statistics, Vol 14, No 4, pp.  1453-1462.</p>     <p >   Hall, P. (1988) Theoretical Comparison of Bootstrap Confidence  Intervals, Annals of Statistics, Vol 16, No 3, pp. 927-953.</p>     <p >  Hall, P., Hardle, W. e Simar, L. (1995) Iterated Bootstrap with  Applications to Frontier Models, Journal of Productivity Analysis, Vol 6, No 1,  pp. 63-76.</p>     <p >   Kittelsen, S. (1998) Stepwise DEA: Choosing Variables for Measuring  Technical Efficiency in Norwegian Electricity Distribution, Memorandum, No. 6,  Oslo University.</p>     <p >  Kittelsen, S. (1999) Monte Carlo Simulations of DEA Efficiency Scores  and Hypothesis Tests, Memorandum, No. 9, Oslo University.</p>     <p >   Löthgren, M. (1998) How to Bootstrap DEA Estimators: a Monte Carlo  Comparison, Working Paper, No. 223, Stockholm University.</p>     ]]></body>
<body><![CDATA[<p >  Marques, R. (2005a) A Regulação dos Serviços de Água e de Águas  Residuais.   Aplicação de Técnicas Não Paramétricas de Benchmarking, Dissertação de  Doutoramento, Instituto Superior Técnico, Universidade Técnica de Lisboa.</p>     <p >    Marques, R. (2005b) A Regulação dos Serviços Públicos, Edições Sílabo, Lisboa.</p>     <p >  Marques, R. e Monteiro, A. (2004) Benchmarking the Economic Performance  of Portuguese Water and Sewerage Services, In Data Envelopment Analysis and  Performance Measurement, Ed. por Ali Emrouznejad e Victor Podinovski, Warwick  Print, UK, pp. 65-72.</p>     <p >   Pedraja-Chaparro, F., Salinas-Jiménez, J. e Smith, P. (1999) On the  Quality of the Data Envelopment Analysis Model, Journal of the Operations  Research Society, Vol 50, No 6, pp. 636-644. </p>     <p >   Sarafidis, V. (2002) An Assessment of Comparative Efficiency Measurement  Techniques, Europe Economics, Office of Water  Services, UK. </p>     <p >  Silverman, B. (1986) Density Estimation of Statistics and Data Analysis,  Chapman and Hall, UK.</p>     <p >  Silverman, B. e Young, G. (1987) The Bootstrap: to Smooth or not to  Smooth?, Biometrika, Vol 74, No 3, pp. 469-479.</p>     <p >  Simar, L. (1992) Estimating Efficiencies from Frontier Models with Panel  Data: a Comparison of Parametric, Non-parametric and Semi-parametric Methods  with Bootstrapping, Journal of Productivity Analysis, Vol 3, No 1/2, pp.  171-191.</p>     <p > Simar, L. e Wilson, P. (1998) Sensitivity Analysis of Efficiency Scores:  How to Bootstrap in Nonparametric Models, Management Science,  Vol 44, No 1, pp. 46-61.</p>     <p >   Simar, L. e Wilson, P. (2000a) Statistical Inference in Non-parametric  Frontier Models: the State of the Art, Journal of Productivity Analysis, Vol 13,  No 1, pp. 49-78.</p>     ]]></body>
<body><![CDATA[<p >  Simar, L. e Wilson, P. (2000b) A General Methodology for Bootstrapping  in Nonparametric Frontier Models, Journal of Applied Statistics, Vol 27, No 6,  pp. 779-802.</p>     <p >   Simar, L. e Wilson, P. (2002) Non-parametric Tests of Returns to Scale,  European Journal of Operational Research, Vol 139, No 1, pp. 115-132.</p>     <p >  Tavares, G. (2002) A bibliography of data envelopment analysis  (1978-2001), Rutcor Research Report, Rutgers University. </p>     <p >&nbsp; </p>     <p>&nbsp; </p>       ]]></body><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Banker]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Maximum Likelihood, Consistency and Data Envelopment Analysis: a Statistical Foundation]]></article-title>
<source><![CDATA[Management Science]]></source>
<year>1993</year>
<volume>39</volume>
<numero>10</numero>
<issue>10</issue>
<page-range>1265-1273</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
