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Poverty Elasticity- a New Empirical Approach

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  • Erik Alencar de Figueiredo
  • Márcio P. Laurini

Abstract

This note proposes a nonparametric estimation method controlled for endogeneity to calculate poverty elasticities for a panel of countries. Results show that usual estimates without control for endogeneity overestimate the growth elasticity of poverty.

Suggested Citation

  • Erik Alencar de Figueiredo & Márcio P. Laurini, 2012. "Poverty Elasticity- a New Empirical Approach," Série Textos para Discussão (Working Papers) 10, Programa de Pós-Graduação em Economia - PPGE, Universidade Federal da Paraíba.
    • Handle: RePEc:ppg:ppgewp:10
    as

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    File URL: http://www.ccsa.ufpb.br/ppge/arquivos/ensaios/PovertyGrowth9.pdf
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    References listed on IDEAS

    as
    1. Ravallion, Martin & Chen, Shaohua, 1997. "What Can New Survey Data Tell Us about Recent Changes in Distribution and Poverty?," The World Bank Economic Review, World Bank, vol. 11(2), pages 357-382, May.
    2. Chunrong Ai & Xiaohong Chen, 2003. "Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions," Econometrica, Econometric Society, vol. 71(6), pages 1795-1843, November.
    3. Banerjee, Abhijit V & Duflo, Esther, 2003. "Inequality and Growth: What Can the Data Say?," Journal of Economic Growth, Springer, vol. 8(3), pages 267-299, September.
    4. Dustin Chambers & Shatakshee Dhongde, 2011. "A Non‐Parametric Measure Of Poverty Elasticity," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(4), pages 683-703, December.
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