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On The Estimation Of Growth And Inequality Elasticities Of Poverty With Grouped Data

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  • Florent Bresson

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UdA - Université d'Auvergne - Clermont-Ferrand I - CNRS - Centre National de la Recherche Scientifique)

Abstract

After decades of intensive research dedicated to efficient and flexible parametric statistical distributions, the lognormal distribution still enjoys, despite its empirical weaknesses, widespread popularity in the applied literature related to poverty and inequality analysis. In the present study, we emphasize the drawbacks of this choice for the calculation of the elasticities of poverty. For this purpose, we estimate the growth and inequality elasticities of poverty using 1,132 income distributions, and 15 rival assumptions on the shape of the income distributions. Our results confirm that the lognormal distribution is not appropriate in most cases for the analysis of poverty: the magnitude of the elasticities is generally overestimated and the estimation of the relative impact of growth and redistribution on poverty alleviation is biased in favor of the growth objective.
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Suggested Citation

  • Florent Bresson, 2009. "On The Estimation Of Growth And Inequality Elasticities Of Poverty With Grouped Data," Post-Print halshs-02080179, HAL.
    • Handle: RePEc:hal:journl:halshs-02080179
    DOI: 10.1111/j.1475-4991.2009.00311.x
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    Cited by:

    1. Hosnieh Mahoozi, 2016. "Growth elasticity of monetary and non-monetary poverty: an application to Iran," Working Papers 403, ECINEQ, Society for the Study of Economic Inequality.
    2. Vanessa Hartmann & Konstantin M. Wacker, 2023. "Poverty decompositions with counterfactual income and inequality dynamics," Review of Development Economics, Wiley Blackwell, vol. 27(3), pages 1746-1768, August.
    3. Richard Bluhm & Denis de Crombrugghe & Adam Szirmai, 2016. "Poverty Accounting. A fractional response approach to poverty decomposition," Working Papers 413, ECINEQ, Society for the Study of Economic Inequality.
    4. Edgar J. Wilson & Kankesu Jayanthakumaran & Reetu Verma, 2022. "Urban poverty, growth, and inequality: A needed paradigm shift?," Review of Development Economics, Wiley Blackwell, vol. 26(2), pages 941-961, May.
    5. Thomas Groll & Peter J. Lambert, 2013. "The Pro-Poorness, Growth and Inequality Nexus: Some Findings From a Simulation Study," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(4), pages 776-784, December.
    6. Dhongde, Shatakshee & Minoiu, Camelia, 2013. "Global Poverty Estimates: A Sensitivity Analysis," World Development, Elsevier, vol. 44(C), pages 1-13.
    7. Vanesa Jorda & José María Sarabia & Markus Jäntti, 2021. "Inequality measurement with grouped data: Parametric and non‐parametric methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 964-984, July.
    8. Stanislaw Maciej Kot, 2023. "Equivalence scales for continuous distributions of expenditure," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 18(1), pages 185-218, March.
    9. Vanesa Jorda & José María Sarabia & Markus Jäntti, 2020. "Estimation of Income Inequality from Grouped Data," LIS Working papers 804, LIS Cross-National Data Center in Luxembourg.
    10. Bluhm, Richard & de Crombrugghe, Denis & Szirmai, Adam, 2018. "Poverty accounting," European Economic Review, Elsevier, vol. 104(C), pages 237-255.
    11. Masato Okamoto, 2014. "Interpolating the Lorenz Curve: Methods to Preserve Shape and Remain Consistent with the Concentration Curves for Components," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(2), pages 349-384, June.
    12. Florent Bresson, 2022. "Comparing Poverty Variations: A Robustness Assessment of the MDGs’ Achievements with Respect to Poverty Alleviation," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(4), pages 1007-1031, December.
    13. Guanghua Wan & Chen Wang & Xun Zhang, 2021. "The Poverty-Growth-Inequality Triangle: Asia 1960s to 2010s," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(3), pages 795-822, February.
    14. Crombrugghe, D.P.I. de & Szirmai, A. & Bluhm, R., 2014. "Poor trends: The pace of poverty reduction after the Millennium Development Agenda," MERIT Working Papers 2014-006, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    15. Bluhm R & Crombrugghe D.P.I. de & Szirmai A., 2013. "The pace of poverty reduction - A fractional response approach," MERIT Working Papers 2013-051, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

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