Multidimensional Poverty with Missing Attributes
Avidit Raj Acharya
Princeton University - Woodrow Wilson School of Public and International Affairs
John E. Roemer
Yale University - Department of Political Science
May 10, 2010
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.
Number of Pages in PDF File: 11
Keywords: multidimensional poverty
JEL Classification: D63, I32working papers series
Date posted: May 11, 2010
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