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The poor get poorer: Tracking relative poverty in India using a durables-based mixture model

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  • Maitra, Sudeshna

Abstract

I propose the use of a durables-based mixture model to identify the consumption class structure of a population. The mixture model decomposes the marginal distribution of durables ownership across all households, into three conditional distributions (one each for lower, middle and upper classes), along with their weights in the population distribution, endogenously determining class membership. This approach provides a potentially deeper understanding of the dynamics of classes, in particular the lower class, than can be obtained using poverty lines or PCA alone. It avoids many well-known problems with expenditure data, ameliorates the impact of changing survey designs, and enables an analysis of the behavior and membership of classes over time. I use the mixture approach to show that the urban lower class in India became smaller but poorer during the 1990s.

Suggested Citation

  • Maitra, Sudeshna, 2016. "The poor get poorer: Tracking relative poverty in India using a durables-based mixture model," Journal of Development Economics, Elsevier, vol. 119(C), pages 110-120.
  • Handle: RePEc:eee:deveco:v:119:y:2016:i:c:p:110-120
    DOI: 10.1016/j.jdeveco.2015.07.003
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    Cited by:

    1. Sudeshna Maitra, 2017. "Class matters: tracking urban inequality in post-liberalization India using a durables-based mixture model," Applied Economics Letters, Taylor & Francis Journals, vol. 24(17), pages 1203-1207, October.
    2. Vollmer, Frank & Alkire, Sabina, 2022. "Consolidating and improving the assets indicator in the global Multidimensional Poverty Index," World Development, Elsevier, vol. 158(C).
    3. Diana K. L. Ngo & Luc Christiaensen, 2019. "The Performance Of A Consumption Augmented Asset Index In Ranking Households And Identifying The Poor," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(4), pages 804-833, December.
    4. Zhenshan Yang & Ding Yang & Dongqi Sun & Linsheng Zhong, 2023. "Ecological and social poverty traps: Complex interactions moving toward sustainable development," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 853-864, April.
    5. Zhou, Yang & Shi, Zhixiong & Shi, Zhengyu & Gao, Qing & Wu, Libo, 2019. "Disaggregating power consumption of commercial buildings based on the finite mixture model," Applied Energy, Elsevier, vol. 243(C), pages 35-46.
    6. Peng Peng & Hui Mao, 2023. "The Effect of Digital Financial Inclusion on Relative Poverty Among Urban Households: A Case Study on China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(2), pages 377-407, January.

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