Skip to main content

Poverty and Inequality of Standard of Living and Quality of Life in Great Britain

  • Chapter
Book cover Advances in Quality-of-Life Theory and Research

Part of the book series: Social Indicators Research Series ((SINS,volume 20))

Abstract

Most empirical analyses on inequality and poverty use either income or consumption to approximate the standard of living and/or quality of life of individuals (or households). Notwithstanding this, it is well known that these measures are seriously deficient. Moreover, it is a handicap to be concerned with goods, as such, to the exclusion of what goods “do to human beings” (Sen, 1998, 1999). We take on Sen’s concepts of ‘resources’ and “functionings” and measure poverty and inequality of standard of living and quality of life in Great Britain using the British Household Panel Study (BHPS) data. Sen defines “resources” as the material goods and services, which confer capability on individuals. That is, provide them with the capacity to do things. His concept of “functionings,” however, captures the notion of how well individuals are functioning as human beings. Following Lovell et al. (1994) we use distance functions to estimate standard of living, quality of life and the efficiency in transforming resources into functionings. Standard of living is measured as a mixture of resources by means of an index, which is analogous to the input quantity index of production economics, whereas quality of life gets measured by an index of individual functionings, which is analogous to the output quantity index of production economics. We then analyse the distributions of standard of living and quality of life and their relationship with the efficiency in transforming resources into functionings. We find little correlation between the first two distributions and very low inequality and poverty.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Aigner, D., Lovell, C. A. K., and Schmidt, P. (1977). Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics, 6, 21–37.

    Article  Google Scholar 

  • Battese, G. E. and Corra, G. S, (1977). Estimation of a Production Frontier Model: With Application to the Pastoral Zones of Eastern Australia. Australian Journal of Agricultural Economics, 21, 169–179.

    Article  Google Scholar 

  • Bourguignon, F. and Chakravarty, S. R. (1998). The Measurement of Multidimensional Poverty, DELTA Working Paper, 98-12, Paris.

    Google Scholar 

  • Brandolini, A. and D’Alessio, G. (1998). Measuring Well-being in the Functionings Space. Banca d’Italia, unpublished paper.

    Google Scholar 

  • Cerioli, A. and Zani, S. A (1990). Fuzzy Approach to the Measurement of Poverty. In C. Dagum and M. Zagna (eds.), Income and Wealth Distribution, Inequality and Poverty, Springer-Verlag, Berlin.

    Google Scholar 

  • Coelli, T. A (1992). Computer Program for Frontier Production Function Estimation: Version Frontier 2.0. Economic Letters, 39, 29–32.

    Article  Google Scholar 

  • Coelli, T., Prasada Rao, D. S. and Battese, G. E. (1997). An Introduction to Efficiency and Productivity Analysis. Boston: Kluwer Academic Publishers.

    Google Scholar 

  • Deaton, A. (1979). The Distance Function in Consumer Behaviour with Application to Index Numbers and Optimal Taxation. Review of Economic Studies, 46, 391–405.

    Article  Google Scholar 

  • Deaton, A. and Muellbauer, J. (1980). Economics of Consumer Behaviour. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Desai, M. and Shah, A. (1988). An Econometric Approach to the Measurement of Poverty. Oxford Economic Papers, 40, 505–522.

    Google Scholar 

  • Deutsch, J., Silber, J., and Yacouel, N. (2000). On the Measurement of Inequality in the Quality of Life in Israel. Bar-Ilan University, unpublished paper.

    Google Scholar 

  • Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statisctical Society, Series A, CXX, 253–290.

    Article  Google Scholar 

  • Gaertner, W. (1993). Commentary to: ‘Amartya Sen: Capability and Well-being’. In M. C. Nussbaum, and A. Sen (eds.), The Quality of Life (pp. 62–66). Oxford: Clarendon Press.

    Chapter  Google Scholar 

  • Green, W. H. (1992). LIMDEP Version 6.0: User’s Manual and Reference Guide. Econometric Software Inc., New York.

    Google Scholar 

  • Kawachi, I., Wilkinson, R. G., and Kennedy B. P. (1999). Income Distribution and Health: a Reader. New Press N.Y.

    Google Scholar 

  • Layte, R., Maitre, B., Nolan, B., and Whelan, C. (2000). Explaining Levels of Deprivation in the European Union, EPAG Working Paper 12, Institute for Social and Economic Research, University of Essex.

    Google Scholar 

  • Lovell, C. A. K, Richardson, S., Travers, P., and Wood, L. (1994). Resources and Functionings: A New View of Inequality in Australia. In W. Eichhorn (ed.), Models and Measurement of Welfare and Inequality. Heidelberg: Springer-Verlag.

    Google Scholar 

  • Maasoumi, E. (1986). The Measurement and Decomposition of Multi-Dimensional Inequality. Econometrica, 54, 991–997.

    Article  Google Scholar 

  • Maasoumi, E. (1989). Continuously Distributed Attributes and Measures of Multivariate Inequality. Journal of Econometrics, 42, 131–144.

    Article  Google Scholar 

  • Meeusen, W. and Van Den Broeck, J. (1977). Efficiency Estimates From Cobb-Douglas Production Functions with Composed Error. International Economic Review, 18, 435–444.

    Article  Google Scholar 

  • Nolan, B. and Whelan, C. T. (1996a). Resources, Deprivation and Poverty. Oxford: Clarendon Press.

    Google Scholar 

  • Nolan, B. and Whelan C. T. (1996b). The Relationship Between Income and Deprivation: A Dynamic Perspective. Revue Économique, 3, 709–717.

    Google Scholar 

  • Richmond, J. (1974). Estimating the Efficiency of Production. International Economic Review, 15(2), 515–521.

    Article  Google Scholar 

  • Schokkaert, E. and Van Ootegem, L. (1990). Sen’s Concept of the Living Standard Applied to the Belgian Unemployed. Recherches Economiques de Louvain, 56, 429–450.

    Google Scholar 

  • Sen, A. (1980). Equality of What. In S. McMurrin (ed.), Tanner Lectures on Human Values, Reprinted in A. Sen, Cambridge University Press, Cambridge, 1980.

    Google Scholar 

  • Sen, A. (1982). Choice, Welfare and Measurement. Oxford: Blackwell.

    Google Scholar 

  • Sen, A. (1998a). The Standard of Living: Lecture I, Concepts and Critiques. In G. Hawthorn (ed.), The Standard of Living. Cambridge University Press.

    Google Scholar 

  • Sen, A. (1998b). The Standard of Living: Lecture II, Lives and Capabilities. In G. Hawthorn (ed.), The Standard of Living. Cambridge University Press.

    Google Scholar 

  • Sen, A. (1999). Commodities and Capabilities, Oxford University Press, Oxford India Paperbacks.

    Google Scholar 

  • Taylor, A. (1994). Appendix: Sample Characteristics, Attrition and Weighting. In N. Buck, J. Gershuny, D. Rose, and J. Scott (eds.), Changing Households: The British Household Panel Study 1990–1992. Colchester: Institute for Social and Economic Research, University of Essex.

    Google Scholar 

  • Taylor, M. F. (1995). British Household Panel Survey User Manual Volume A: Introduction, Technical Report and Appendices. Colchester: Institute for Social and Economic Research, University of Essex. An up-to-date version of the BHPS documentation is available at: http://www.iser.sx.ac.uk/bhps/doc/

    Google Scholar 

  • Tsui, K. Y. (1995). Multidimensional Generalizations of the Relative and Absolute Inequality Indices: The Atkinson-Kolm-Sen Approach. Journal of Economic Theory, 67, 251–265.

    Article  Google Scholar 

  • UNDP (1995). Human Development Report. New York and Oxford: United Nations Development Programme and Oxford University Press.

    Google Scholar 

  • Walzer, M. (1983). Spheres of Justice. New York: Basic Books.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Deutsch, J., Ramos, X., Silber, J. (2003). Poverty and Inequality of Standard of Living and Quality of Life in Great Britain. In: Sirgy, M.J., Rahtz, D., Samli, A.C. (eds) Advances in Quality-of-Life Theory and Research. Social Indicators Research Series, vol 20. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-0387-1_7

Download citation

  • DOI: https://doi.org/10.1007/978-94-017-0387-1_7

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-6364-9

  • Online ISBN: 978-94-017-0387-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics