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Long-Term Dynamics of Poverty Transitions in India

Author

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  • ANAND SAHASRANAMAN

    (Division of Science, Division of Humanities and Social Science, Krea University, India2Centre for Complexity Science, Department of Mathematics, Imperial College London, United Kingdom)

Abstract

I use a stochastic model to explore the dynamics of poverty in India from 1952 to 2006 and find that temporal transitions into and out of poverty are common. Model outcomes suggest that transitions out of poverty outnumber transitions into poverty in recent times, but that there is still a nontrivial proportion of individuals transitioning annually into poverty, highlighting the economic fragility of those near the poverty line. There is also a marked persistence of poverty over time, and although this has been slowly declining, past poverty remains a good predictor of current poverty. Particularly concerning in this context are the income trajectories of those in the bottom decile of the income distribution for whom escape from poverty appears infeasible given extant income dynamics. Finally, the dynamics suggest that transitional and persistent poverty are distinct phenomena that require distinct policy responses involving both missing markets and state action.

Suggested Citation

  • Anand Sahasranaman, 2021. "Long-Term Dynamics of Poverty Transitions in India," Asian Development Review (ADR), World Scientific Publishing Co. Pte. Ltd., vol. 38(02), pages 213-235, September.
  • Handle: RePEc:wsi:adrxxx:v:38:y:2021:i:02:n:s0116110521500049
    DOI: 10.1142/S0116110521500049
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    Cited by:

    1. Jhon Edwar Hernández & Blanca Zuluaga, 2022. "Vulnerability to Multidimensional Poverty: An Application to Colombian Households," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(1), pages 345-371, November.

    More about this item

    Keywords

    dynamics; income; India; poverty; transition;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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