Publication Type
Working Paper
Version
publishedVersion
Publication Date
10-2015
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.
Keywords
FGT measure, Watts measure, market access, infrastructure
Discipline
Econometrics
Research Areas
Econometrics
First Page
1
Last Page
34
Identifier
10.35188/UNU-WIDER/2015/991-6
Publisher
WIDER Working Paper 102/2015
Citation
1
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.