Multidimensional poverty with missing attributes

Avidit Acharya (avidit@stanford.edu) and John Roemer

Economics Letters, 2015, vol. 130, issue C, 51-55

Abstract: 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.

Keywords: Multidimensional poverty; Classification error (search for similar items in EconPapers)
JEL-codes: D63 I32 (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:130:y:2015:i:c:p:51-55

DOI: 10.1016/j.econlet.2015.02.033

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