Multidimensional poverty with missing attributes

We show how to minimize the probability of misclassifying individuals as being poor or not poor when data on some of their relevant attributes are missing, but an estimate of the population distribution of attributes is available.

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Year of publication:	2015
Authors:	Acharya, Avidit ; Roemer, John E.
Published in:	Economics Letters. - Elsevier, ISSN 0165-1765. - Vol. 130.2015, C, p. 51-55
Publisher:	Elsevier
Subject:	Multidimensional poverty \| Classification error

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Type of publication:	Article
Classification:	D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement ; I32 - Measurement and Analysis of Poverty
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011263437