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Multidimensional Poverty and Welfare

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Lectures on Inequality, Poverty and Welfare

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 685))

Abstract

This chapter develops an approach to poverty measurement based on the interpretation of poverty as a welfare loss. Following the standard approach in the normative theory of income inequality, poverty indices are derived here from a social evaluation function and some poverty thresholds. A welfare poverty index is defined as the relative welfare loss due to the insufficient welfare of those agents whose achievements do not reach the minimum established. The construction of those indices is formulated in a multidimensional context. We show that, under conventional assumptions, those indices can be expressed as the product of the incidence and the inequality-adjusted intensity of poverty. We include an application to the measurement or educational poverty using the data from PISA.

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Notes

  1. 1.

    http://www.ophi.org.uk

  2. 2.

    We require homogeneity rather than homoceticity to be able to define the welfare poverty index appropriately.

  3. 3.

    Note that this notion of scale is slightly different from that in Chap. 6. This is so because we want to keep track of the size of the total population and of the population of the poor.

  4. 4.

    One should really write y e(y(j)) to be precise. Yet we shall use a less cumbersome notation.

  5. 5.

    The geometric mean of the welfare dimensions has been characterized in terms of intuitive and simple properties (alternative characterizations appear in Foster et al. (2005), Herrero, Martínez, and Villar (2010) or Seth (2013), among others). The geometric mean exhibits better properties as a welfare indicator, as it does not imply constant rates of substitution between welfare dimensions.

  6. 6.

    This index can also be regarded as a derivation of Watts (1968) poverty measure, under the assumption of equally important dimensions.

  7. 7.

    This section is based on Villar (2016).

  8. 8.

    Note, however, that this correlation refers to the link between low performance and socio-economic conditions between countries. Things are different when we analyse low performance within countries by social groups.

References

  • Aaberge, R., & Brandolini, A. (2014). Multidimensional poverty and inequality (Banca d’Italia working paper n° 976).

    Google Scholar 

  • Alkire, S., Foster, J., Seth, S., Santos, M. E., Roche, J. M., & Ballon, P. (2015). Multidimensional poverty: Measurement and analysis. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Barten, A. P., & Böhm, W. (1982). Consumer theory. In K. J. Arrow & M. D. Intriligator (Eds.), Handbook of mathematical economics (Vol. II). New York: North Holland.

    Google Scholar 

  • Blackorby, C., & Donaldson, D. (1978). Measures of relative inequality and their meaning in terms of social welfare. Journal of Economic Theory, 18, 59–80.

    Article  Google Scholar 

  • Blackorby, C., & Donaldson, D. (1980). Ethical indices for the measurement of poverty. Econometrica, 48, 1053–1060.

    Article  Google Scholar 

  • Bourguignon, F., & Chakravarty, S. R. (2003). The measurement of multidimensional poverty. Journal of Economic Inequality, 1, 25–49.

    Article  Google Scholar 

  • Carvalho, M., Gamboa, L. F., & Waltenberg, F. D. (2015). Equality of educational opportunity: Taking both achievement and access into account (Ecineq working paper 2012-277)

    Google Scholar 

  • Chakravarty, S. R. (2009). Inequality, polarization and poverty. New York: Springer.

    Book  Google Scholar 

  • Chakravarty, S. R., Mukherjee, D., & Ranade, R. (1998). The family of subgroup and factor decomposable measures of multidimensional poverty. Research on Economic Inequality, 8.

    Google Scholar 

  • Clark, S., Hemming, R., & Ulph, D. (1981). On indices for the measurement of poverty. The Economic Journal, 91, 515–526.

    Article  Google Scholar 

  • Dardadoni, V. (1995). On multidimensional poverty measurement. Research on Economic Inequality, 6, 201–207.

    Google Scholar 

  • Duclos, J.-Y., & Araar, A. (2006). Poverty and equity: Measurement, policy and estimation with DAD. New York: Springer.

    Google Scholar 

  • Ferreira, F., & Gignoux, J. (2011). The measurement of educational inequality: Achievement and opportunity (Ecineq working paper n° 240).

    Google Scholar 

  • Ferreira, F. H. G., Gignoux, J., & Aran, M. (2011). Measuring inequality of opportunity with imperfect data: The case of Turkey. Journal of Economic Inequality, 9, 651–680.

    Article  Google Scholar 

  • Foster, J. E., Lopez-Calva, L. F., & Szekely, M. (2005). Measuring the distribution of human development: Methodology and an application to Mexico. Journal of Human Development, 6(1), 5–25.

    Article  Google Scholar 

  • Gamboa, L. F., & Waltenberg, F. D. (2012). Inequality of opportunity in educational achievement in Latin America: Evidence from PISA 2006–2009. Economics of Education Review, 31, 694–708.

    Article  Google Scholar 

  • Haughton, J., & Khandker, S. R. (2009). Handbook of poverty and inequality. Washington, DC: The World Bank.

    Google Scholar 

  • Herrero, C., Martínez, R., & Villar, A. (2010). Multidimensional social evaluation. An application to the measurement of human development. Review of Income and Wealth, 56, 483–497.

    Article  Google Scholar 

  • Kakwani, N. (1997). Inequality, welfare and poverty: Three interrelated phenomena (Working paper 97/18). Kensington, NSW: The University of New South Wales.

    Google Scholar 

  • Lewis, G. W., & Ulph, D. T. (1988). Poverty, inequality and welfare. The Economic Journal, 98, 117–131.

    Article  Google Scholar 

  • OECD. (2014). What students know and can do. Student performance in mathematics, reading and science (Revised edition, Vol. 1). Paris: PISA, OECD Publishing.

    Google Scholar 

  • OECD. (2016). Low performing students: Why they fall behind and how to help them succeed. Paris: PISA, OECD Publishing. 10.1787/9789264250246-en.

    Google Scholar 

  • Pyatt, G. (1987). Measuring welfare, poverty and inequality. The Economic Journal, 97, 459–467.

    Article  Google Scholar 

  • Sen, A. K. (1976). Poverty: An ordinal approach to measurement. Econometrica, 44, 219–231.

    Article  Google Scholar 

  • Seth, S. (2013). A class of distribution and association sensitive multidimensional welfare indices. Journal of Economic Inequality, 11, 133–162.

    Article  Google Scholar 

  • Tansel, A. (2015). Inequality of opportunities in educational achievements in Turkey over time (IZA working paper DP 9005).

    Google Scholar 

  • Tsui, K. (2002). Multidimensional poverty indices. Social Choice and Welfare, 19, 69–93.

    Article  Google Scholar 

  • United Nations Development Program. (2010). The real wealth of Nations: Pathways to human development. New York: UNDP.

    Google Scholar 

  • Vaughan, R. N. (1987). Welfare approaches to the measurement of poverty. The Economic Journal, 97, 160–170.

    Article  Google Scholar 

  • Villar, A. (2015). Multidimensional welfare-poverty indices (mimeo).

    Google Scholar 

  • Villar, A. (2016). Educational poverty as a welfare loss: Low performance in the OECD according to PISA 2012. Modern Economy, 7, 441–449. doi:10.4236/me.2016.74049.

    Article  Google Scholar 

  • Wagle, U. (2008). Multidimensional poverty measurement. New York: Springer.

    Book  Google Scholar 

  • Watts, H. (1968). An economic definition of poverty. In D. P. Moynihan (Ed.), On understanding poverty (pp. 316–329). New York: Basic Books.

    Google Scholar 

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Villar, A. (2017). Multidimensional Poverty and Welfare. In: Lectures on Inequality, Poverty and Welfare. Lecture Notes in Economics and Mathematical Systems, vol 685. Springer, Cham. https://doi.org/10.1007/978-3-319-45562-4_8

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