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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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Washington, D.C. :
International Monetary Fund,
2008.
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| Series: | IMF Working Papers ;
Working Paper no. 08/183. |
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| Online Access: |
Full text (Emmanuel users only) |