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Poverty decomposition by regression: An application to Tanzania

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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

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  • Tomoki Fujii, 2015. "Poverty decomposition by regression: An application to Tanzania," Working Papers e097, Tokyo Center for Economic Research.
    • Handle: RePEc:tcr:wpaper:e97
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    Cited by:

    1. Tomoki Fujii, 2018. "Has the development gap between the ethnic minority and majority groups narrowed in Vietnam?: Evidence from household surveys," The World Economy, Wiley Blackwell, vol. 41(8), pages 2067-2101, August.

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