Picking the Poor : Indicators for Geographic Targeting in Peru
Geographic targeting is perhaps the most popular mechanism used to direct social programs to the poor in Latin America. The author empirically compares geographic targeting indicators available in Peru. He combines household-level information from...
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Format: | Policy Research Working Paper |
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2014
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Online Access: | http://documents.worldbank.org/curated/en/2000/11/717451/picking-poor-indicators-geographic-targeting-peru http://hdl.handle.net/10986/19745 |
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okr-10986-197452021-04-23T14:03:44Z Picking the Poor : Indicators for Geographic Targeting in Peru Schady, Norbert R. BENEFICIARIES CHRONICALLY POOR DATA REQUIREMENTS ECONOMIC REVIEW ECONOMICS EXPENDITURES GEOGRAPHIC TARGETING HOUSEHOLD COMPOSITION HOUSEHOLD INCOME HOUSEHOLD SURVEYS INCOME INEQUALITY INFANT MORTALITY LABOR SUPPLY LAND OWNERSHIP LIVING STANDARDS NUTRITION NUTRITION PROGRAMS NUTRITIONAL STATUS POLICY RESEARCH POOR POVERTY ALLEVIATION POVERTY ALLEVIATION PROGRAMS POVERTY LINES POVERTY MEASURES POVERTY REDUCTION PROGRAMS PUBLIC SPENDING RURAL POVERTY SAMPLE SIZE SAVINGS SOCIAL PROGRAMS SOCIAL SERVICES TECHNICAL ASSISTANCE URBAN AREAS Geographic targeting is perhaps the most popular mechanism used to direct social programs to the poor in Latin America. The author empirically compares geographic targeting indicators available in Peru. He combines household-level information from the 1994 and 1997 Peru Living Standards Measurement Surveys and district-level information from the 1993 Peru Population and Housing Census. He then conducts a series of simulations that estimate leakage rates; concentration curves; the impact of transfers on poverty as measured by the headcount index, poverty gap, and [poverty] measures of the Foster-Greer-Thorbecke family; and nonparametric (kernal) densities when transfers are based on alternative indicators. He concludes that there is substantial potential for geographic targeting in Peru. The differences in outcomes across geographic targeting indicators are small and not statistically significant. 2014-08-26T22:12:44Z 2014-08-26T22:12:44Z 2000-11 http://documents.worldbank.org/curated/en/2000/11/717451/picking-poor-indicators-geographic-targeting-peru http://hdl.handle.net/10986/19745 English en_US Policy Research Working Paper;No. 2477 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank, Washington, DC Publications & Research :: Policy Research Working Paper Publications & Research Latin America & Caribbean Peru |
repository_type |
Digital Repository |
institution_category |
Foreign Institution |
institution |
Digital Repositories |
building |
World Bank Open Knowledge Repository |
collection |
World Bank |
language |
English en_US |
topic |
BENEFICIARIES CHRONICALLY POOR DATA REQUIREMENTS ECONOMIC REVIEW ECONOMICS EXPENDITURES GEOGRAPHIC TARGETING HOUSEHOLD COMPOSITION HOUSEHOLD INCOME HOUSEHOLD SURVEYS INCOME INEQUALITY INFANT MORTALITY LABOR SUPPLY LAND OWNERSHIP LIVING STANDARDS NUTRITION NUTRITION PROGRAMS NUTRITIONAL STATUS POLICY RESEARCH POOR POVERTY ALLEVIATION POVERTY ALLEVIATION PROGRAMS POVERTY LINES POVERTY MEASURES POVERTY REDUCTION PROGRAMS PUBLIC SPENDING RURAL POVERTY SAMPLE SIZE SAVINGS SOCIAL PROGRAMS SOCIAL SERVICES TECHNICAL ASSISTANCE URBAN AREAS |
spellingShingle |
BENEFICIARIES CHRONICALLY POOR DATA REQUIREMENTS ECONOMIC REVIEW ECONOMICS EXPENDITURES GEOGRAPHIC TARGETING HOUSEHOLD COMPOSITION HOUSEHOLD INCOME HOUSEHOLD SURVEYS INCOME INEQUALITY INFANT MORTALITY LABOR SUPPLY LAND OWNERSHIP LIVING STANDARDS NUTRITION NUTRITION PROGRAMS NUTRITIONAL STATUS POLICY RESEARCH POOR POVERTY ALLEVIATION POVERTY ALLEVIATION PROGRAMS POVERTY LINES POVERTY MEASURES POVERTY REDUCTION PROGRAMS PUBLIC SPENDING RURAL POVERTY SAMPLE SIZE SAVINGS SOCIAL PROGRAMS SOCIAL SERVICES TECHNICAL ASSISTANCE URBAN AREAS Schady, Norbert R. Picking the Poor : Indicators for Geographic Targeting in Peru |
geographic_facet |
Latin America & Caribbean Peru |
relation |
Policy Research Working Paper;No. 2477 |
description |
Geographic targeting is perhaps the most
popular mechanism used to direct social programs to the poor
in Latin America. The author empirically compares geographic
targeting indicators available in Peru. He combines
household-level information from the 1994 and 1997 Peru
Living Standards Measurement Surveys and district-level
information from the 1993 Peru Population and Housing
Census. He then conducts a series of simulations that
estimate leakage rates; concentration curves; the impact of
transfers on poverty as measured by the headcount index,
poverty gap, and [poverty] measures of the
Foster-Greer-Thorbecke family; and nonparametric (kernal)
densities when transfers are based on alternative
indicators. He concludes that there is substantial potential
for geographic targeting in Peru. The differences in
outcomes across geographic targeting indicators are small
and not statistically significant. |
format |
Publications & Research :: Policy Research Working Paper |
author |
Schady, Norbert R. |
author_facet |
Schady, Norbert R. |
author_sort |
Schady, Norbert R. |
title |
Picking the Poor : Indicators for Geographic Targeting in Peru |
title_short |
Picking the Poor : Indicators for Geographic Targeting in Peru |
title_full |
Picking the Poor : Indicators for Geographic Targeting in Peru |
title_fullStr |
Picking the Poor : Indicators for Geographic Targeting in Peru |
title_full_unstemmed |
Picking the Poor : Indicators for Geographic Targeting in Peru |
title_sort |
picking the poor : indicators for geographic targeting in peru |
publisher |
World Bank, Washington, DC |
publishDate |
2014 |
url |
http://documents.worldbank.org/curated/en/2000/11/717451/picking-poor-indicators-geographic-targeting-peru http://hdl.handle.net/10986/19745 |
_version_ |
1764440522811768832 |