Poverty Alleviation through Geographic Targeting: How Much Does Disaggregation Help?
Using recently completed "poverty maps" for Cambodia, Ecuador, and Madagascar, the authors simulate the impact on poverty of transferring an exogenously given budget to geographically defined subgroups of the population according to their relative poverty status. They find large gains from targeting smaller administrative units, such as districts or villages. But these gains are still far from the poverty reduction that would be possible had the planners had access to information on household level income or consumption. The results suggest that a useful way forward might be to combine fine geographic targeting using a poverty map with within-community targeting mechanisms.
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dig-okr-10986142472024-08-08T17:30:22Z Poverty Alleviation through Geographic Targeting: How Much Does Disaggregation Help? Elbers, Chris Fujii, Tomoki Lanjouw, Peter Özler, Berk Yin, Wesley ACCESS TO INFORMATION BENEFICIARIES BUDGET CONSTRAINTS CONSUMPTION EXPENDITURES ECONOMIC CIRCUMSTANCES EMPIRICAL EVIDENCE EQUILIBRIUM FIXED COSTS GEOGRAPHIC TARGETING HOUSEHOLD CONSUMPTION HOUSEHOLD SURVEYS IMPERFECT INFORMATION INCOME INEQUALITY MEANS TESTING MICROECONOMICS OPTIMAL TARGETING PER CAPITA CONSUMPTION POLICY MAKERS POLICY RESEARCH POLITICAL ECONOMY POOR POOR PEOPLE POOR PERSONS POVERTY ALLEVIATION POVERTY ESTIMATES POVERTY GAP POVERTY LINE POVERTY LINES POVERTY MEASURES POVERTY OUTCOMES POVERTY RATES POVERTY REDUCTION POVERTY REDUCTION OBJECTIVES PUBLIC GOODS PUBLIC SPENDING SAMPLE SIZE SAVINGS SOCIAL DEVELOPMENT SOCIAL SERVICES TARGETED TRANSFER PROGRAMS TARGETED TRANSFERS TARGETING TARGETING MECHANISMS TRANSPARENCY URBAN AREAS WELFARE GAINS Using recently completed "poverty maps" for Cambodia, Ecuador, and Madagascar, the authors simulate the impact on poverty of transferring an exogenously given budget to geographically defined subgroups of the population according to their relative poverty status. They find large gains from targeting smaller administrative units, such as districts or villages. But these gains are still far from the poverty reduction that would be possible had the planners had access to information on household level income or consumption. The results suggest that a useful way forward might be to combine fine geographic targeting using a poverty map with within-community targeting mechanisms. 2013-06-27T18:30:36Z 2013-06-27T18:30:36Z 2004-10 http://documents.worldbank.org/curated/en/2004/10/5184681/poverty-alleviation-through-geographic-targeting-much-disaggregation-help https://hdl.handle.net/10986/14247 English en_US Policy Research Working Paper;No.3419 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank application/pdf text/plain World Bank, Washington, D.C. |
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Banco Mundial |
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Estados Unidos |
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US |
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Bibliográfico |
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En linea |
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dig-okr |
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biblioteca |
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America del Norte |
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Biblioteca del Banco Mundial |
| language |
English en_US |
| topic |
ACCESS TO INFORMATION BENEFICIARIES BUDGET CONSTRAINTS CONSUMPTION EXPENDITURES ECONOMIC CIRCUMSTANCES EMPIRICAL EVIDENCE EQUILIBRIUM FIXED COSTS GEOGRAPHIC TARGETING HOUSEHOLD CONSUMPTION HOUSEHOLD SURVEYS IMPERFECT INFORMATION INCOME INEQUALITY MEANS TESTING MICROECONOMICS OPTIMAL TARGETING PER CAPITA CONSUMPTION POLICY MAKERS POLICY RESEARCH POLITICAL ECONOMY POOR POOR PEOPLE POOR PERSONS POVERTY ALLEVIATION POVERTY ESTIMATES POVERTY GAP POVERTY LINE POVERTY LINES POVERTY MEASURES POVERTY OUTCOMES POVERTY RATES POVERTY REDUCTION POVERTY REDUCTION OBJECTIVES PUBLIC GOODS PUBLIC SPENDING SAMPLE SIZE SAVINGS SOCIAL DEVELOPMENT SOCIAL SERVICES TARGETED TRANSFER PROGRAMS TARGETED TRANSFERS TARGETING TARGETING MECHANISMS TRANSPARENCY URBAN AREAS WELFARE GAINS ACCESS TO INFORMATION BENEFICIARIES BUDGET CONSTRAINTS CONSUMPTION EXPENDITURES ECONOMIC CIRCUMSTANCES EMPIRICAL EVIDENCE EQUILIBRIUM FIXED COSTS GEOGRAPHIC TARGETING HOUSEHOLD CONSUMPTION HOUSEHOLD SURVEYS IMPERFECT INFORMATION INCOME INEQUALITY MEANS TESTING MICROECONOMICS OPTIMAL TARGETING PER CAPITA CONSUMPTION POLICY MAKERS POLICY RESEARCH POLITICAL ECONOMY POOR POOR PEOPLE POOR PERSONS POVERTY ALLEVIATION POVERTY ESTIMATES POVERTY GAP POVERTY LINE POVERTY LINES POVERTY MEASURES POVERTY OUTCOMES POVERTY RATES POVERTY REDUCTION POVERTY REDUCTION OBJECTIVES PUBLIC GOODS PUBLIC SPENDING SAMPLE SIZE SAVINGS SOCIAL DEVELOPMENT SOCIAL SERVICES TARGETED TRANSFER PROGRAMS TARGETED TRANSFERS TARGETING TARGETING MECHANISMS TRANSPARENCY URBAN AREAS WELFARE GAINS |
| spellingShingle |
ACCESS TO INFORMATION BENEFICIARIES BUDGET CONSTRAINTS CONSUMPTION EXPENDITURES ECONOMIC CIRCUMSTANCES EMPIRICAL EVIDENCE EQUILIBRIUM FIXED COSTS GEOGRAPHIC TARGETING HOUSEHOLD CONSUMPTION HOUSEHOLD SURVEYS IMPERFECT INFORMATION INCOME INEQUALITY MEANS TESTING MICROECONOMICS OPTIMAL TARGETING PER CAPITA CONSUMPTION POLICY MAKERS POLICY RESEARCH POLITICAL ECONOMY POOR POOR PEOPLE POOR PERSONS POVERTY ALLEVIATION POVERTY ESTIMATES POVERTY GAP POVERTY LINE POVERTY LINES POVERTY MEASURES POVERTY OUTCOMES POVERTY RATES POVERTY REDUCTION POVERTY REDUCTION OBJECTIVES PUBLIC GOODS PUBLIC SPENDING SAMPLE SIZE SAVINGS SOCIAL DEVELOPMENT SOCIAL SERVICES TARGETED TRANSFER PROGRAMS TARGETED TRANSFERS TARGETING TARGETING MECHANISMS TRANSPARENCY URBAN AREAS WELFARE GAINS ACCESS TO INFORMATION BENEFICIARIES BUDGET CONSTRAINTS CONSUMPTION EXPENDITURES ECONOMIC CIRCUMSTANCES EMPIRICAL EVIDENCE EQUILIBRIUM FIXED COSTS GEOGRAPHIC TARGETING HOUSEHOLD CONSUMPTION HOUSEHOLD SURVEYS IMPERFECT INFORMATION INCOME INEQUALITY MEANS TESTING MICROECONOMICS OPTIMAL TARGETING PER CAPITA CONSUMPTION POLICY MAKERS POLICY RESEARCH POLITICAL ECONOMY POOR POOR PEOPLE POOR PERSONS POVERTY ALLEVIATION POVERTY ESTIMATES POVERTY GAP POVERTY LINE POVERTY LINES POVERTY MEASURES POVERTY OUTCOMES POVERTY RATES POVERTY REDUCTION POVERTY REDUCTION OBJECTIVES PUBLIC GOODS PUBLIC SPENDING SAMPLE SIZE SAVINGS SOCIAL DEVELOPMENT SOCIAL SERVICES TARGETED TRANSFER PROGRAMS TARGETED TRANSFERS TARGETING TARGETING MECHANISMS TRANSPARENCY URBAN AREAS WELFARE GAINS Elbers, Chris Fujii, Tomoki Lanjouw, Peter Özler, Berk Yin, Wesley Poverty Alleviation through Geographic Targeting: How Much Does Disaggregation Help? |
| description |
Using recently completed "poverty
maps" for Cambodia, Ecuador, and Madagascar, the
authors simulate the impact on poverty of transferring an
exogenously given budget to geographically defined subgroups
of the population according to their relative poverty
status. They find large gains from targeting smaller
administrative units, such as districts or villages. But
these gains are still far from the poverty reduction that
would be possible had the planners had access to information
on household level income or consumption. The results
suggest that a useful way forward might be to combine fine
geographic targeting using a poverty map with
within-community targeting mechanisms. |
| topic_facet |
ACCESS TO INFORMATION BENEFICIARIES BUDGET CONSTRAINTS CONSUMPTION EXPENDITURES ECONOMIC CIRCUMSTANCES EMPIRICAL EVIDENCE EQUILIBRIUM FIXED COSTS GEOGRAPHIC TARGETING HOUSEHOLD CONSUMPTION HOUSEHOLD SURVEYS IMPERFECT INFORMATION INCOME INEQUALITY MEANS TESTING MICROECONOMICS OPTIMAL TARGETING PER CAPITA CONSUMPTION POLICY MAKERS POLICY RESEARCH POLITICAL ECONOMY POOR POOR PEOPLE POOR PERSONS POVERTY ALLEVIATION POVERTY ESTIMATES POVERTY GAP POVERTY LINE POVERTY LINES POVERTY MEASURES POVERTY OUTCOMES POVERTY RATES POVERTY REDUCTION POVERTY REDUCTION OBJECTIVES PUBLIC GOODS PUBLIC SPENDING SAMPLE SIZE SAVINGS SOCIAL DEVELOPMENT SOCIAL SERVICES TARGETED TRANSFER PROGRAMS TARGETED TRANSFERS TARGETING TARGETING MECHANISMS TRANSPARENCY URBAN AREAS WELFARE GAINS |
| author |
Elbers, Chris Fujii, Tomoki Lanjouw, Peter Özler, Berk Yin, Wesley |
| author_facet |
Elbers, Chris Fujii, Tomoki Lanjouw, Peter Özler, Berk Yin, Wesley |
| author_sort |
Elbers, Chris |
| title |
Poverty Alleviation through Geographic Targeting: How Much Does Disaggregation Help? |
| title_short |
Poverty Alleviation through Geographic Targeting: How Much Does Disaggregation Help? |
| title_full |
Poverty Alleviation through Geographic Targeting: How Much Does Disaggregation Help? |
| title_fullStr |
Poverty Alleviation through Geographic Targeting: How Much Does Disaggregation Help? |
| title_full_unstemmed |
Poverty Alleviation through Geographic Targeting: How Much Does Disaggregation Help? |
| title_sort |
poverty alleviation through geographic targeting: how much does disaggregation help? |
| publisher |
World Bank, Washington, D.C. |
| publishDate |
2004-10 |
| url |
http://documents.worldbank.org/curated/en/2004/10/5184681/poverty-alleviation-through-geographic-targeting-much-disaggregation-help https://hdl.handle.net/10986/14247 |
| work_keys_str_mv |
AT elberschris povertyalleviationthroughgeographictargetinghowmuchdoesdisaggregationhelp AT fujiitomoki povertyalleviationthroughgeographictargetinghowmuchdoesdisaggregationhelp AT lanjouwpeter povertyalleviationthroughgeographictargetinghowmuchdoesdisaggregationhelp AT ozlerberk povertyalleviationthroughgeographictargetinghowmuchdoesdisaggregationhelp AT yinwesley povertyalleviationthroughgeographictargetinghowmuchdoesdisaggregationhelp |
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1807157692234465280 |