Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/326821 
Year of Publication: 
2022
Series/Report no.: 
UNU-MERIT Working Papers No. 2022-012
Publisher: 
United Nations University (UNU), Maastricht Economic and Social Research Institute on Innovation and Technology (UNU-MERIT), Maastricht
Abstract: 
Policy decisions are sensitive to the conceptualization of poverty and, in line with the growing demand for multidimensional poverty measurement, we conducted an impact evaluation of Peru's largest social protection intervention - the conditional cash transfer program 'Juntos' - to further understand its effects on multidimensional poverty. We combine a propensity score matching with a difference-in-difference approach to estimate and compare two multidimensional indices created using the Alkire-Foster method. The first replicates the Global Multidimensional Poverty Index (MPI) while the other is a Juntos-tailored MPI. We do not find robust and statistically significant effects of the program in either index. Despite finding steeper reductions among Juntos beneficiaries, particularly in education and health indicators, these changes cannot be statistically attributed to the program. We further conclude that using a multidimensional poverty index can be a highly useful evaluation tool when thoroughly adapted to the theory of change of the intervention under assessment.
Subjects: 
conditional cash transfers
multidimensional poverty
Juntos
Peru
JEL: 
I32
I38
Creative Commons License: 
cc-by-nc-sa Logo
Document Type: 
Working Paper

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