The poor get poorer: Tracking relative poverty in India using a durables-based mixture model
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DOI: 10.1016/j.jdeveco.2015.07.003
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Cited by:
- 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.
- 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.
- Ngo,Diana & Christiaensen,Luc, 2018. "The performance of a consumption augmented asset index in ranking Households and Identifying the Poor," Policy Research Working Paper Series 8362, The World Bank.
- 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.
- Vollmer, Frank & Alkire, Sabina, 2022. "Consolidating and improving the assets indicator in the global Multidimensional Poverty Index," World Development, Elsevier, vol. 158(C).
- 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.
- 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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Keywords
Durable ownership; Consumption class; Relative poverty; Poverty line; Mixture model; EM algorithm; Indian poverty;All these keywords.
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