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Poverty decomposition by regression

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  • Tomoki Fujii

Abstract

We develop a poverty decomposition method that is based on a consumption regression model. Because this method uses an integral of the partial derivatives of a poverty measure with respect to time, the resulting poverty decomposition satisfies time-reversion consistency and sub-period additivity. Unlike the existing poverty decomposition methods, it allows us to ascribe the observed change in poverty to various covariates of interest collected at a disaggregate level. This method is applied to two datasets from Tanzania to assess, among others, the short- and long-term impacts of infrastructure and market access on poverty.

Suggested Citation

  • Tomoki Fujii, 2015. "Poverty decomposition by regression," WIDER Working Paper Series 102, World Institute for Development Economic Research (UNU-WIDER).
  • Handle: RePEc:unu:wpaper:wp2015-102
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    File URL: https://www.wider.unu.edu/sites/default/files/wp2015-102-.pdf
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    Cited by:

    1. Fujii, Tomoki, 2017. "Has the Development Gap between the Ethnic Minority and Majority Groups Narrowed in Viet Nam? Evidence from Household Surveys," ADBI Working Papers 661, Asian Development Bank Institute.

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    Keywords

    FGT measure; Watts measure; market access; infrastructure;

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