New Algorithm to Estimate Inequality Measures in Cross-Survey Imputation : An Attempt to Correct the Underestimation of Extreme Values
This paper contributes to the debate on ways to improve the calculation of inequality measures in developing countries experiencing severe budget constraints. Linear regression-based survey-to-survey imputation techniques are most frequently discus...
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| Format: | Working Paper |
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World Bank,Washington, DC
2022
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| Online Access: | http://documents.worldbank.org/curated/en/099833304202232000/IDU04786da1d0b37c04df60b7ae0f41688c4262c http://hdl.handle.net/10986/37329 |
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okr-10986-373292022-04-23T05:10:39Z New Algorithm to Estimate Inequality Measures in Cross-Survey Imputation : An Attempt to Correct the Underestimation of Extreme Values Betti, Gianni Molini, Vasco Mori, Lorenzo INEQUALITY INDICATORS BIAS REDUCTION SURVEY-TO-SURVEY IMPUTATION MOROCCAN LFS MOROCCAN HBS POVERTY ESTIMATION POVERTY STATISTICS POVERTY INDICATORS SSIT POVERTY MAP HOUSEHOLD SURVEY POVERTY AND INEQUALITY POVERTY TRENDS This paper contributes to the debate on ways to improve the calculation of inequality measures in developing countries experiencing severe budget constraints. Linear regression-based survey-to-survey imputation techniques are most frequently discussed in the literature. These are effective at estimating predictions of poverty indicators but are much less accurate with inequality indicators. To demonstrate this limited accuracy, the first part of the paper discusses several simulations using Moroccan Household Budget Surveys and Labor Force Surveys. The paper proposes a method for overcoming these limitations based on an algorithm that minimizes the sum of the squared difference between a certain number of direct estimates of an index and its empirical version obtained from the predicted values. Indeed, when comparing the estimated results with those directly estimated from the original sample, the bias is negligible. Furthermore, the inequality indices for the years for which there are only model estimates, rather than direct information on expenditures, seem to be consistent with Moroccan economic trends. 2022-04-22T13:54:10Z 2022-04-22T13:54:10Z 2022-04 Working Paper http://documents.worldbank.org/curated/en/099833304202232000/IDU04786da1d0b37c04df60b7ae0f41688c4262c http://hdl.handle.net/10986/37329 English Policy Research Working Paper;10013 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank,Washington, DC Policy Research Working Paper Publications & Research Morocco |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English |
| topic |
INEQUALITY INDICATORS BIAS REDUCTION SURVEY-TO-SURVEY IMPUTATION MOROCCAN LFS MOROCCAN HBS POVERTY ESTIMATION POVERTY STATISTICS POVERTY INDICATORS SSIT POVERTY MAP HOUSEHOLD SURVEY POVERTY AND INEQUALITY POVERTY TRENDS |
| spellingShingle |
INEQUALITY INDICATORS BIAS REDUCTION SURVEY-TO-SURVEY IMPUTATION MOROCCAN LFS MOROCCAN HBS POVERTY ESTIMATION POVERTY STATISTICS POVERTY INDICATORS SSIT POVERTY MAP HOUSEHOLD SURVEY POVERTY AND INEQUALITY POVERTY TRENDS Betti, Gianni Molini, Vasco Mori, Lorenzo New Algorithm to Estimate Inequality Measures in Cross-Survey Imputation : An Attempt to Correct the Underestimation of Extreme Values |
| geographic_facet |
Morocco |
| relation |
Policy Research Working Paper;10013 |
| description |
This paper contributes to the debate
on ways to improve the calculation of inequality measures in
developing countries experiencing severe budget constraints.
Linear regression-based survey-to-survey imputation
techniques are most frequently discussed in the literature.
These are effective at estimating predictions of poverty
indicators but are much less accurate with inequality
indicators. To demonstrate this limited accuracy, the first
part of the paper discusses several simulations using
Moroccan Household Budget Surveys and Labor Force Surveys.
The paper proposes a method for overcoming these limitations
based on an algorithm that minimizes the sum of the squared
difference between a certain number of direct estimates of
an index and its empirical version obtained from the
predicted values. Indeed, when comparing the estimated
results with those directly estimated from the original
sample, the bias is negligible. Furthermore, the inequality
indices for the years for which there are only model
estimates, rather than direct information on expenditures,
seem to be consistent with Moroccan economic trends. |
| format |
Working Paper |
| author |
Betti, Gianni Molini, Vasco Mori, Lorenzo |
| author_facet |
Betti, Gianni Molini, Vasco Mori, Lorenzo |
| author_sort |
Betti, Gianni |
| title |
New Algorithm to Estimate Inequality Measures in Cross-Survey Imputation : An Attempt to Correct the Underestimation of Extreme Values |
| title_short |
New Algorithm to Estimate Inequality Measures in Cross-Survey Imputation : An Attempt to Correct the Underestimation of Extreme Values |
| title_full |
New Algorithm to Estimate Inequality Measures in Cross-Survey Imputation : An Attempt to Correct the Underestimation of Extreme Values |
| title_fullStr |
New Algorithm to Estimate Inequality Measures in Cross-Survey Imputation : An Attempt to Correct the Underestimation of Extreme Values |
| title_full_unstemmed |
New Algorithm to Estimate Inequality Measures in Cross-Survey Imputation : An Attempt to Correct the Underestimation of Extreme Values |
| title_sort |
new algorithm to estimate inequality measures in cross-survey imputation : an attempt to correct the underestimation of extreme values |
| publisher |
World Bank,Washington, DC |
| publishDate |
2022 |
| url |
http://documents.worldbank.org/curated/en/099833304202232000/IDU04786da1d0b37c04df60b7ae0f41688c4262c http://hdl.handle.net/10986/37329 |
| _version_ |
1764486964328792064 |