Kernel Density Estimation Based on Grouped Data : The Case of Poverty Assessment

The Case of Poverty Assessment

Kernel Density Estimation Based on 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 with the bandwidth, the kernel, the number of... READ MORE...

Publication date: July 2008
ISBN 9781451870411
$18.00

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