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 w...
| 主要作者: | |
|---|---|
| 其他作者: | |
| 格式: | 雜誌 |
| 語言: | English |
| 出版: |
Washington, D.C. :
International Monetary Fund,
2008.
|
| 叢編: | IMF Working Papers; Working Paper ;
No. 2008/183 |
| 在線閱讀: | Full text available on IMF |