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Simulating the Impact of Geographic Targeting on Poverty Alleviation in Morocco : What Are the Gains from Disaggregation?

ACCESS TO INFORMATION ALLEVIATION OF POVERTY ANTI-POVERTY AVAILABILITY OF POVERTY ESTIMATES BENCHMARK CASE BENCHMARK SCENARIO CAPITA CONSUMPTION MEASURE CAPITA CONSUMPTION VALUE CAPITA EXPENDITURE CENSUS ENUMERATION AREA CHOICE OF POVERTY LINE CLASS OF POVERTY MEASURES CLUSTER CORRELATION CLUSTER-LEVEL EFFECTS COMMUNE LEVEL TARGETING COMMUNITY LEVEL COMMUNITY TARGETING COMMUNITY TARGETING MECHANISMS CONFIDENCE BOUNDS CONSUMPTION DISTRIBUTION CONSUMPTION EXPENDITURES CONSUMPTION LEVEL CONSUMPTION LEVEL PER HOUSEHOLD CONSUMPTION MEASURE DATA ON INCOMES DATA ON POVERTY DECOMPOSABLE POVERTY DEVELOPING COUNTRIES DEVELOPMENT RESEARCH GROUP DIMENSIONS OF POVERTY DISTRICT LEVEL DISTRICT-LEVEL ERRORS OF INCLUSION ESTIMATES OF POVERTY EXOGENOUSLY GIVEN BUDGET EXPENDITURE DISTRIBUTIONS EXPENDITURES FROM CENSUS DATA EXPLANATORY VARIABLES EXTREME POVERTY EXTREME POVERTY LINE FIRST-STAGE ESTIMATION FOOD POLICY FOOD SUBSIDIES GEOGRAPHIC AGGREGATION GEOGRAPHIC AREA GEOGRAPHIC LEVEL GEOGRAPHIC LOCATION GEOGRAPHIC LOCATION OF RESIDENCE GLOBAL DEVELOPMENT HEADCOUNT RATE HOUSEHOLD CONSUMPTION HOUSEHOLD LEVEL HOUSEHOLD LEVEL INCOME HOUSEHOLD SIZE HOUSEHOLD SURVEY HOUSEHOLD SURVEY DATA HOUSEHOLD SURVEYS HOUSEHOLD WEIGHTS HOUSEHOLD-LEVEL HOUSEHOLD-LEVEL PER CAPITA CONSUMPTION HUMAN DEVELOPMENT HYPOTHETICAL BUDGET HYPOTHETICAL SCENARIO IDIOSYNCRATIC ERROR IMPACT ON POVERTY IMPERFECT INFORMATION INCOME INCOME DATA INCOME DISTRIBUTION INCOME LEVEL INCOME TRANSFERS INCOME-GENERATING ACTIVITIES INDIVIDUAL HOUSEHOLDS INEQUALITY INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE KNOWLEDGE ABOUT POVERTY LEVELS KNOWLEDGE ABOUT POVERTY OUTCOMES LEVEL OF POVERTY LIVING STANDARDS LOCAL ESTIMATES OF POVERTY LOWER VALUES LUMP-SUM LUMP-SUM TRANSFER LUMP-SUM TRANSFER SCHEME LUMP-SUM TRANSFERS MEASURE OF POVERTY MULTIVARIATE NORMAL DISTRIBUTION NATIONAL LEVEL NATIONAL POVERTY NATIONAL POVERTY RATE NATIONAL-LEVEL POVERTY ESTIMATE NUMBER OF HOUSEHOLDS OPTIMAL SCHEME OPTIMAL TARGETING OPTIMAL TRANSFER SIMULATIONS OPTIMIZATION PROBLEM OPTIMIZATION SCHEME PARAMETER ESTIMATES PER CAPITA CONSUMPTION POLICY RESEARCH POLICY RESEARCH WORKING PAPER POLICY SIMULATION POLICY-SIMULATION EXERCISE POLITICAL ECONOMY POLITICAL PROCESS POOR POOR COMMUNITIES POOR LOCALITIES POOR PEOPLE POOR PERSON POOR PERSONS POOR SEGMENTS OF SOCIETY POPULATION CENSUS POPULATION SIZE POVERTY ALLEVIATION POVERTY ALLEVIATION EFFORTS POVERTY ALLEVIATION STRATEGY POVERTY COMPARISONS POVERTY ESTIMATES POVERTY GAP POVERTY GAP RATE POVERTY IMPACT POVERTY LEVELS POVERTY LINE POVERTY LINES POVERTY MAP POVERTY MAPPING POVERTY MAPPING METHODOLOGY POVERTY MAPS POVERTY MEASURE POVERTY MEASURES POVERTY RATES POVERTY REDUCTION POVERTY REDUCTION EFFORTS POVERTY STATUS PROGRESS PROXY INDICATORS PROXY WELFARE INDEX PUBLIC POLICIES PUBLIC RESOURCES REGRESSORS RESOURCE MOBILIZATION RURAL RURAL AREAS RURAL COMMUNITIES RURAL POPULATION RURAL POVERTY RURAL POVERTY RATE RURAL PROVINCES SAVINGS SIMULATION PROCEDURES SIMULATION STAGE SIMULATIONS SMALL NUMBER OF HOUSEHOLDS SOCIAL ASSISTANCE SOCIAL DEVELOPMENT SOCIAL INFRASTRUCTURE SOCIAL WELFARE SPATIAL CORRELATION SPATIAL DISTRIBUTION SPATIAL DISTRIBUTION OF POVERTY STANDARD DEVIATION STANDARD ERROR STANDARD ERRORS STATISTICAL PRECISION STATISTICAL SIGNIFICANCE STATISTICAL SIGNIFICANCE OF POVERTY DIFFERENCES TARGETING TARGETING MECHANISMS TERTIARY EDUCATION TRANSFER POVERTY TRANSFER PROGRAMS TRANSFER SCHEME TRANSFER SCHEMES UNIFORM LUMP UNIFORM LUMP-SUM TRANSFER UNIFORM TRANSFER URBAN AREAS URBAN POPULATION URBAN POVERTY VARIANCE-COVARIANCE MATRICES VULNERABILITY WELFARE INDICATOR
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World Bank, Washington, DC
Middle East and North Africa | Morocco
2012-06-04T15:19:11Z | 2012-06-04T15:19:11Z | 2008-09

The authors employ the recently completed "poverty map" for Morocco, referring to the year 2004, as a tool for an ex-ante evaluation of the distributional incidence of geographic targeting of public resources. They simulate the impact on poverty of transferring an exogenously given budget to geographically defined sub-groups of the population according to their relative poverty status. In both rural and urban areas, the findings reveal large gains from targeting smaller administrative units, such as communes or districts. However, 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 indicate 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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