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On intertemporal poverty measures: the role of affluence and want

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  • Indranil Dutta
  • Laurence Roope
  • Horst Zank

Abstract

This paper proposes classes of intertemporal poverty measures which take into account both the debilitating impact of prolonged spells in poverty and the mitigating effect of periods of affluence on subsequent poverty. The weight assigned to the level of poverty in each time period depends on the length of the preceding spell of poverty or of non-poverty. The proposed classes of intertemporal poverty measures are quite general and allow for a range of possible judgements as to the overall impact on a poor period of preceding spells of poverty or affluence. We discuss the properties of the proposed classes of measures and axiomatically characterize these measures. Copyright Springer-Verlag Berlin Heidelberg 2013

Suggested Citation

  • Indranil Dutta & Laurence Roope & Horst Zank, 2013. "On intertemporal poverty measures: the role of affluence and want," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 41(4), pages 741-762, October.
    • Handle: RePEc:spr:sochwe:v:41:y:2013:i:4:p:741-762
    DOI: 10.1007/s00355-012-0709-8
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    References listed on IDEAS

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      • BOSSERT, Walter & CHAKRAVARTY, Satya R. & D’AMBROSIO, Conchita, 2008. "Poverty and Time," Cahiers de recherche 05-2008, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
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    16. Indranil Dutta & Laurence Roope & Horst Zank, 2011. "On Intertemporal Poverty: Affluence-Dependent Measures," Economics Discussion Paper Series 1112, Economics, The University of Manchester.
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    Cited by:

    1. Francesco Dotto & Alessio Farcomeni & Maria Grazia Pittau & Roberto Zelli, 2019. "A dynamic inhomogeneous latent state model for measuring material deprivation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(2), pages 495-516, February.
    2. Andrew Dickerson & Gurleen K. Popli, 2016. "Persistent poverty and children's cognitive development: evidence from the UK Millennium Cohort Study," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(2), pages 535-558, February.
    3. Markus Jäntti & Stephen P. Jenkins, 2013. "Income Mobility," SOEPpapers on Multidisciplinary Panel Data Research 607, DIW Berlin, The German Socio-Economic Panel (SOEP).
    4. Nicolai Suppa, 2018. "Transitions in poverty and its deprivations," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 51(2), pages 235-258, August.
    5. Mathieu Lefèbvre & Pierre Pestieau & Gregory Ponthiere, 2018. "FGT Old†Age Poverty Measures and the Mortality Paradox: Theory and Evidence," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 428-458, June.
    6. Florent Bresson & Jean-Yves Duclos, 2015. "Intertemporal poverty comparisons," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 44(3), pages 567-616, March.
    7. Florent Bresson & Jean-Yves Duclos & Flaviana Palmisano, 2019. "Intertemporal pro-poorness," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 52(1), pages 65-96, January.
    8. Andrew E. Clark & Conchita D’Ambrosio & Simone Ghislandi, 2015. "Poverty Profiles and Well-Being: Panel Evidence from Germany," Research on Economic Inequality, in: Measurement of Poverty, Deprivation, and Economic Mobility, volume 23, pages 1-22, Emerald Group Publishing Limited.
    9. Alkire, Sabina & Apablaza, Mauricio & Chakravarty, Satya & Yalonetzky, Gaston, 2017. "Measuring chronic multidimensional poverty," Journal of Policy Modeling, Elsevier, vol. 39(6), pages 983-1006.
    10. Villar, Antonio, 2024. "A note on the measurement of poverty persistence," Economics Letters, Elsevier, vol. 236(C).
    11. Isabel Günther & Johannes K. Maier, 2014. "Poverty, Vulnerability, and Reference-Dependent Utility," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(1), pages 155-181, March.
    12. Sinha, Kompal & Davillas, Apostolos & Jones, Andrew M. & Sharma, Anurag, 2021. "Do socioeconomic health gradients persist over time and beyond income? A distributional analysis using UK biomarker data," Economics & Human Biology, Elsevier, vol. 43(C).
    13. Henrietta A. Asiamah, 2021. "Childhood Chronic Poverty Estimations: Looking Beyond a Count Index," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(1), pages 185-215, February.
    14. Jing You & Sangui Wang & Laurence Roope, 2014. "Multi-dimensional Intertemporal Poverty in Rural China," CSAE Working Paper Series 2014-36, Centre for the Study of African Economies, University of Oxford.
    15. Jing You & Sangui Wang & Laurence Roope, 2018. "Intertemporal deprivation in rural china: income and nutrition," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(1), pages 61-101, March.
    16. Alessio Fusco & Philippe Van Kerm, 2023. "Measuring poverty persistence," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 18, pages 192-200, Edward Elgar Publishing.

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