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The recentered influence function and unidimensional poverty measurement

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  • Carlos Gradín

Abstract

I discuss the applicability of the recentered influence function (RIF) to the analysis of poverty differentials between distributions (regression-based decomposition into composition and income structure effects). I show that the predominant approach in the empirical literature estimates the relationship between individual poverty functions of additive measures, particularly the head-count ratio, and household attributes.

Suggested Citation

  • Carlos Gradín, 2021. "The recentered influence function and unidimensional poverty measurement," WIDER Working Paper Series wp-2021-142, World Institute for Development Economic Research (UNU-WIDER).
  • Handle: RePEc:unu:wpaper:wp-2021-142
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    References listed on IDEAS

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    1. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    2. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    3. Yun, Myeong-Su, 2004. "Decomposing differences in the first moment," Economics Letters, Elsevier, vol. 82(2), pages 275-280, February.
    4. James E. Foster, 2006. "Poverty Indices," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Alain Janvry & Ravi Kanbur (ed.), Poverty, Inequality and Development, chapter 0, pages 41-65, Springer.
    5. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    6. Alain Janvry & Ravi Kanbur (ed.), 2006. "Poverty, Inequality and Development," Economic Studies in Inequality, Social Exclusion, and Well-Being, Springer, number 978-0-387-29748-4, January.
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