Kernel Density Estimation Basedon Grouped Data : the Case of Poverty Assessment /

We analyze the performance of kernel density methods applied to grouped data to estimate poverty (as applied in Sala-i-Martin, 2006, QJE). Using Monte Carlo simulations and household surveys, we find that the technique gives rise to biases in poverty estimates, the sign and magnitude of which vary w...

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Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Author: Minoiu, Camelia
Corporate Author: International Monetary Fund
Other Authors: Reddy, Sanjay
Format: Electronic eBook
Language:English
Published: Washington, D.C. : International Monetary Fund, 2008
Series:IMF Working Papers ; Working Paper no. 08/183.
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Local Note:ProQuest Ebook Central