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Using Efficiency Analysis to Measure Individual Well-Being with an Illustration for Catalonia

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Author Info

  • Ramos, Xavi

    ()
    (Universitat Autònoma de Barcelona)

Abstract

This paper shows how distance functions, a tool typically employed in production economics to measure the distance between a set of inputs and a set of outputs, can be employed to approximate a composite measure encompassing the many dimensions of well-being. It also illustrates how to implement the methodology originally put forth by Lovell et al. (1994), using new data for Catalonia. We draw policy implications and critically appraise the discussed methodology suggesting avenues for further research.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 1748.

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Length: 44 pages
Date of creation: Sep 2005
Date of revision:
Publication status: published in: Nanak Kakwani and Jacques Silver (eds.): Quantitative Approaches to Multidimensional Poverty Measure, Palgrave Macmillan, 2007
Handle: RePEc:iza:izadps:dp1748

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Related research

Keywords: well-being; multidimensional poverty; distance function; Catalonia;

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References

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  1. Greene, William H., 1980. "Maximum likelihood estimation of econometric frontier functions," Journal of Econometrics, Elsevier, Elsevier, vol. 13(1), pages 27-56, May.
  2. David G. Blanchflower & Andrew J. Oswald, 2000. "Well-Being Over Time in Britain and the USA," NBER Working Papers 7487, National Bureau of Economic Research, Inc.
  3. Alois Stutzer & Bruno S. Frey, . "Does Marriage Make People Happy, Or Do Happy People Get Married?," IEW - Working Papers 143, Institute for Empirical Research in Economics - University of Zurich.
  4. Bardasi, Elena & Taylor, Mark P., 2005. "Marriage and wages," ISER Working Paper Series 2005-01, Institute for Social and Economic Research.
  5. Wilson, Chris M & Oswald, Andrew J, 2005. "How Does Marriage Affect Physical and Psychological Health? A Survey of the Longitudinal Evidence," The Warwick Economics Research Paper Series (TWERPS) 728, University of Warwick, Department of Economics.
  6. Nolan, Brian & Whelan, Christopher T., 1996. "Resources, Deprivation, and Poverty," OUP Catalogue, Oxford University Press, Oxford University Press, number 9780198287858, October.
  7. Xavier Ramos & Jacques Silber, 2005. "On The Application Of Efficiency Analysis To The Study Of The Dimensions Of Human Development ," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(2), pages 285-309, 06.
  8. George A. Akerlof & Rachel E. Kranton, 2000. "Economics And Identity," The Quarterly Journal of Economics, MIT Press, MIT Press, vol. 115(3), pages 715-753, August.
  9. Ribar, David C., 2004. "What Do Social Scientists Know About the Benefits of Marriage? A Review of Quantitative Methodologies," IZA Discussion Papers 998, Institute for the Study of Labor (IZA).
  10. Robert Cummins, 1996. "The domains of life satisfaction: An attempt to order chaos," Social Indicators Research, Springer, Springer, vol. 38(3), pages 303-328, January.
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Citations

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Cited by:
  1. Martin Binder & Tom Broekel, 2011. "Applying a Non-parametric Efficiency Analysis to Measure Conversion Efficiency in Great Britain," Journal of Human Development and Capabilities, Taylor & Francis Journals, Taylor & Francis Journals, vol. 12(2), pages 257-281.
  2. Martin Binder & Alex Coad, 2010. "Disentangling the Circularity in Sen's Capability Approach – An Analysis of the Co-Evolution of Functioning Achievement and Resources," Papers on Economics and Evolution 2010-04, Philipps University Marburg, Department of Geography.
  3. Martin Binder & Tom Broekel, 2012. "Happiness No Matter the Cost? An Examination on How Efficiently Individuals Reach Their Happiness Levels," Journal of Happiness Studies, Springer, Springer, vol. 13(4), pages 621-645, August.
  4. Martin Binder & Alex Coad, 2011. "Disentangling the Circularity in Sen’s Capability Approach: An Analysis of the Co-Evolution of Functioning Achievement and Resources," Social Indicators Research, Springer, Springer, vol. 103(3), pages 327-355, September.

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