Multidimensional Poverty with Missing Attributes

11 Pages Posted: 11 May 2010

See all articles by Avidit Raj Acharya

Avidit Raj Acharya

Princeton University - Woodrow Wilson School of Public and International Affairs

John E. Roemer

Yale University - Department of Political Science; Yale University - Cowles Foundation

Date Written: May 10, 2010

Abstract

Suppose that n quantifiable attributes of an individual - e.g. income, life expectancy, education etc. - are important for deciding whether or not that individual is living in poverty. If his profile of attributes falls below a certain poverty frontier then the individual is considered poor. Consider the problem of a policy-implementer who can only observe k < n of these attributes. The bureaucrat wishes to choose a poverty frontier only in those attributes that are observable, so as to minimize the expected number of misclassified individuals. We characterize the solution to this minimization problem.

Keywords: multidimensional poverty

JEL Classification: D63, I32

Suggested Citation

Acharya, Avidit Raj and Roemer, John E., Multidimensional Poverty with Missing Attributes (May 10, 2010). Available at SSRN: https://ssrn.com/abstract=1604126 or http://dx.doi.org/10.2139/ssrn.1604126

Avidit Raj Acharya (Contact Author)

Princeton University - Woodrow Wilson School of Public and International Affairs ( email )

Princeton University
Princeton, NJ 08544-1021
United States

John E. Roemer

Yale University - Department of Political Science ( email )

Box 208269
New Haven, DC 06520-8269
United States
203-432-5249 (Phone)
203-432-6196 (Fax)

HOME PAGE: http://pantheon.yale.edu/~jer39/

Yale University - Cowles Foundation

Box 208281
New Haven, CT 06520-8281
United States

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