Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/126347 
Authors: 
Year of Publication: 
2015
Series/Report no.: 
WIDER Working Paper No. 2015/102
Publisher: 
The United Nations University World Institute for Development Economics Research (UNU-WIDER), Helsinki
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.
Subjects: 
FGT measure
Watts measure
market access
infrastructure
JEL: 
I32
O10
Persistent Identifier of the first edition: 
ISBN: 
978-92-9230-991-6
Document Type: 
Working Paper

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