Brazil within Brazil : Testing the Poverty Map Methodology in Minas Gerais
The small-area estimation technique developed for producing poverty maps has been applied in a large number of developing countries. Opportunities to formally test the validity of this approach remain rare due to lack of appropriately detailed data...
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| Format: | Policy Research Working Paper |
| Language: | English |
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World Bank, Washington, DC
2012
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| Online Access: | http://documents.worldbank.org/curated/en/2008/02/9035947/brazil-within-brazil-testing-poverty-map-methodology-minas-gerais http://hdl.handle.net/10986/6575 |
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okr-10986-65752021-04-23T14:02:31Z Brazil within Brazil : Testing the Poverty Map Methodology in Minas Gerais Elbers, Chris Lanjouw, Peter Leite, Phillippe George ADULT POPULATION ANALYSIS OF POVERTY AUTOCORRELATION BOOTSTRAP CALCULATION CAPITA CONSUMPTION CENSUS ENUMERATION AREA CLUSTER CORRELATION CLUSTER-LEVEL EFFECTS COMMUNITY LEVEL CONFIDENCE INTERVALS CONSUMPTION DATA CONSUMPTION EXPENDITURE CORRELATIONS COVARIANCE DATA COLLECTION DELTA METHOD DESCRIPTIVE STATISTICS DEVELOPING COUNTRIES DEVELOPMENT ECONOMICS DEVELOPMENT RESEARCH DEVELOPMENT RESEARCH GROUP DISTRICT LEVEL DISTURBANCE TERM ECONOMIC STATUS EDUCATIONAL VARIABLES ENUMERATION ESTIMATES OF POVERTY ESTIMATION OF POVERTY EXPLANATORY VARIABLES FINANCIAL SUPPORT FIRST-STAGE PARAMETERS HETEROSCEDASTICITY HOUSEHOLD CONSUMPTION HOUSEHOLD INCOME HOUSEHOLD LEVEL HOUSEHOLD SIZE HOUSEHOLD SURVEY HOUSEHOLD SURVEY DATA HOUSEHOLD SURVEYS HOUSEHOLD WEIGHTS HOUSEHOLD-LEVEL HUMAN CAPITAL HUMAN DEVELOPMENT IDIOSYNCRATIC ERROR INCIDENCE OF POVERTY INCOME DATA INDIVIDUAL HOUSEHOLDS INFANT INFANT MORTALITY INFANT MORTALITY RATE INFANT MORTALITY RATES LABOUR FORCE LEVEL ESTIMATION OF WELFARE LEVEL OF AGGREGATION LIFE EXPECTANCY LITERACY RATES MATRIX MAXIMUM LIKELIHOOD ESTIMATION METHODOLOGICAL RESEARCH METHODOLOGY MIGRANTS MORTALITY NUMBER OF CHILDREN NUMBER OF HOUSEHOLDS PARAMETER ESTIMATES PENSIONS POLICY RESEARCH POLICY RESEARCH WORKING PAPER POPULATION CENSUS POPULATION SIZE POVERTY ALLEVIATION POVERTY ESTIMATE POVERTY LINE POVERTY MAP POVERTY MAPPING POVERTY MAPS POVERTY MEASURES PRECISION PREDICTION PREDICTIONS PROGRESS PUBLIC SERVICE QUESTIONNAIRES RANDOM SAMPLING REGRESSORS RELIABILITY RESEARCH WORKING PAPERS RESEARCHERS RESPECT SAMPLE DESIGN SAMPLE SURVEYS SAMPLING DISTRIBUTIONS SANITATION SIGNIFICANCE LEVEL SIMULATION SIMULATION STAGE SIMULATIONS SMALL AREA ESTIMATION SMALL NUMBER OF HOUSEHOLDS SPATIAL CORRELATION SPATIAL DISTRIBUTION SPATIAL DISTRIBUTION OF POVERTY STANDARD ERROR STANDARD ERRORS STATISTICAL PRECISION STATISTICAL SENSE STATISTICAL TERMS STATISTICAL TESTS SURVEY DATA TECHNIQUES TIME SERIES TIME SERIES ANALYSIS TV URBAN AREAS VALIDITY VARIANCE-COVARIANCE MATRIX WEIGHTING The small-area estimation technique developed for producing poverty maps has been applied in a large number of developing countries. Opportunities to formally test the validity of this approach remain rare due to lack of appropriately detailed data. This paper compares a set of predicted welfare estimates based on this methodology against their true values, in a setting where these true values are known. A recent study draws on Monte Carlo evidence to warn that the small-area estimation methodology could significantly over-state the precision of local-level estimates of poverty, if underlying assumptions of spatial homogeneity do not hold. Despite these concerns, the findings in this paper for the state of Minas Gerais, Brazil, indicate that the small-area estimation approach is able to produce estimates of welfare that line up quite closely to their true values. Although the setting considered here would seem, a priori, unlikely to meet the homogeneity conditions that have been argued to be essential for the method, confidence intervals for the poverty estimates also appear to be appropriate. However, this latter conclusion holds only after carefully controlling for community-level factors that are correlated with household level welfare. 2012-05-29T18:10:40Z 2012-05-29T18:10:40Z 2008-02 http://documents.worldbank.org/curated/en/2008/02/9035947/brazil-within-brazil-testing-poverty-map-methodology-minas-gerais http://hdl.handle.net/10986/6575 English Policy Research Working Paper; No. 4513 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research :: Policy Research Working Paper Publications & Research Latin America & Caribbean Brazil |
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Digital Repository |
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Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English |
| topic |
ADULT POPULATION ANALYSIS OF POVERTY AUTOCORRELATION BOOTSTRAP CALCULATION CAPITA CONSUMPTION CENSUS ENUMERATION AREA CLUSTER CORRELATION CLUSTER-LEVEL EFFECTS COMMUNITY LEVEL CONFIDENCE INTERVALS CONSUMPTION DATA CONSUMPTION EXPENDITURE CORRELATIONS COVARIANCE DATA COLLECTION DELTA METHOD DESCRIPTIVE STATISTICS DEVELOPING COUNTRIES DEVELOPMENT ECONOMICS DEVELOPMENT RESEARCH DEVELOPMENT RESEARCH GROUP DISTRICT LEVEL DISTURBANCE TERM ECONOMIC STATUS EDUCATIONAL VARIABLES ENUMERATION ESTIMATES OF POVERTY ESTIMATION OF POVERTY EXPLANATORY VARIABLES FINANCIAL SUPPORT FIRST-STAGE PARAMETERS HETEROSCEDASTICITY HOUSEHOLD CONSUMPTION HOUSEHOLD INCOME HOUSEHOLD LEVEL HOUSEHOLD SIZE HOUSEHOLD SURVEY HOUSEHOLD SURVEY DATA HOUSEHOLD SURVEYS HOUSEHOLD WEIGHTS HOUSEHOLD-LEVEL HUMAN CAPITAL HUMAN DEVELOPMENT IDIOSYNCRATIC ERROR INCIDENCE OF POVERTY INCOME DATA INDIVIDUAL HOUSEHOLDS INFANT INFANT MORTALITY INFANT MORTALITY RATE INFANT MORTALITY RATES LABOUR FORCE LEVEL ESTIMATION OF WELFARE LEVEL OF AGGREGATION LIFE EXPECTANCY LITERACY RATES MATRIX MAXIMUM LIKELIHOOD ESTIMATION METHODOLOGICAL RESEARCH METHODOLOGY MIGRANTS MORTALITY NUMBER OF CHILDREN NUMBER OF HOUSEHOLDS PARAMETER ESTIMATES PENSIONS POLICY RESEARCH POLICY RESEARCH WORKING PAPER POPULATION CENSUS POPULATION SIZE POVERTY ALLEVIATION POVERTY ESTIMATE POVERTY LINE POVERTY MAP POVERTY MAPPING POVERTY MAPS POVERTY MEASURES PRECISION PREDICTION PREDICTIONS PROGRESS PUBLIC SERVICE QUESTIONNAIRES RANDOM SAMPLING REGRESSORS RELIABILITY RESEARCH WORKING PAPERS RESEARCHERS RESPECT SAMPLE DESIGN SAMPLE SURVEYS SAMPLING DISTRIBUTIONS SANITATION SIGNIFICANCE LEVEL SIMULATION SIMULATION STAGE SIMULATIONS SMALL AREA ESTIMATION SMALL NUMBER OF HOUSEHOLDS SPATIAL CORRELATION SPATIAL DISTRIBUTION SPATIAL DISTRIBUTION OF POVERTY STANDARD ERROR STANDARD ERRORS STATISTICAL PRECISION STATISTICAL SENSE STATISTICAL TERMS STATISTICAL TESTS SURVEY DATA TECHNIQUES TIME SERIES TIME SERIES ANALYSIS TV URBAN AREAS VALIDITY VARIANCE-COVARIANCE MATRIX WEIGHTING |
| spellingShingle |
ADULT POPULATION ANALYSIS OF POVERTY AUTOCORRELATION BOOTSTRAP CALCULATION CAPITA CONSUMPTION CENSUS ENUMERATION AREA CLUSTER CORRELATION CLUSTER-LEVEL EFFECTS COMMUNITY LEVEL CONFIDENCE INTERVALS CONSUMPTION DATA CONSUMPTION EXPENDITURE CORRELATIONS COVARIANCE DATA COLLECTION DELTA METHOD DESCRIPTIVE STATISTICS DEVELOPING COUNTRIES DEVELOPMENT ECONOMICS DEVELOPMENT RESEARCH DEVELOPMENT RESEARCH GROUP DISTRICT LEVEL DISTURBANCE TERM ECONOMIC STATUS EDUCATIONAL VARIABLES ENUMERATION ESTIMATES OF POVERTY ESTIMATION OF POVERTY EXPLANATORY VARIABLES FINANCIAL SUPPORT FIRST-STAGE PARAMETERS HETEROSCEDASTICITY HOUSEHOLD CONSUMPTION HOUSEHOLD INCOME HOUSEHOLD LEVEL HOUSEHOLD SIZE HOUSEHOLD SURVEY HOUSEHOLD SURVEY DATA HOUSEHOLD SURVEYS HOUSEHOLD WEIGHTS HOUSEHOLD-LEVEL HUMAN CAPITAL HUMAN DEVELOPMENT IDIOSYNCRATIC ERROR INCIDENCE OF POVERTY INCOME DATA INDIVIDUAL HOUSEHOLDS INFANT INFANT MORTALITY INFANT MORTALITY RATE INFANT MORTALITY RATES LABOUR FORCE LEVEL ESTIMATION OF WELFARE LEVEL OF AGGREGATION LIFE EXPECTANCY LITERACY RATES MATRIX MAXIMUM LIKELIHOOD ESTIMATION METHODOLOGICAL RESEARCH METHODOLOGY MIGRANTS MORTALITY NUMBER OF CHILDREN NUMBER OF HOUSEHOLDS PARAMETER ESTIMATES PENSIONS POLICY RESEARCH POLICY RESEARCH WORKING PAPER POPULATION CENSUS POPULATION SIZE POVERTY ALLEVIATION POVERTY ESTIMATE POVERTY LINE POVERTY MAP POVERTY MAPPING POVERTY MAPS POVERTY MEASURES PRECISION PREDICTION PREDICTIONS PROGRESS PUBLIC SERVICE QUESTIONNAIRES RANDOM SAMPLING REGRESSORS RELIABILITY RESEARCH WORKING PAPERS RESEARCHERS RESPECT SAMPLE DESIGN SAMPLE SURVEYS SAMPLING DISTRIBUTIONS SANITATION SIGNIFICANCE LEVEL SIMULATION SIMULATION STAGE SIMULATIONS SMALL AREA ESTIMATION SMALL NUMBER OF HOUSEHOLDS SPATIAL CORRELATION SPATIAL DISTRIBUTION SPATIAL DISTRIBUTION OF POVERTY STANDARD ERROR STANDARD ERRORS STATISTICAL PRECISION STATISTICAL SENSE STATISTICAL TERMS STATISTICAL TESTS SURVEY DATA TECHNIQUES TIME SERIES TIME SERIES ANALYSIS TV URBAN AREAS VALIDITY VARIANCE-COVARIANCE MATRIX WEIGHTING Elbers, Chris Lanjouw, Peter Leite, Phillippe George Brazil within Brazil : Testing the Poverty Map Methodology in Minas Gerais |
| geographic_facet |
Latin America & Caribbean Brazil |
| relation |
Policy Research Working Paper; No. 4513 |
| description |
The small-area estimation technique
developed for producing poverty maps has been applied in a
large number of developing countries. Opportunities to
formally test the validity of this approach remain rare due
to lack of appropriately detailed data. This paper compares
a set of predicted welfare estimates based on this
methodology against their true values, in a setting where
these true values are known. A recent study draws on Monte
Carlo evidence to warn that the small-area estimation
methodology could significantly over-state the precision of
local-level estimates of poverty, if underlying assumptions
of spatial homogeneity do not hold. Despite these concerns,
the findings in this paper for the state of Minas Gerais,
Brazil, indicate that the small-area estimation approach is
able to produce estimates of welfare that line up quite
closely to their true values. Although the setting
considered here would seem, a priori, unlikely to meet the
homogeneity conditions that have been argued to be essential
for the method, confidence intervals for the poverty
estimates also appear to be appropriate. However, this
latter conclusion holds only after carefully controlling for
community-level factors that are correlated with household
level welfare. |
| format |
Publications & Research :: Policy Research Working Paper |
| author |
Elbers, Chris Lanjouw, Peter Leite, Phillippe George |
| author_facet |
Elbers, Chris Lanjouw, Peter Leite, Phillippe George |
| author_sort |
Elbers, Chris |
| title |
Brazil within Brazil : Testing the Poverty Map Methodology in Minas Gerais |
| title_short |
Brazil within Brazil : Testing the Poverty Map Methodology in Minas Gerais |
| title_full |
Brazil within Brazil : Testing the Poverty Map Methodology in Minas Gerais |
| title_fullStr |
Brazil within Brazil : Testing the Poverty Map Methodology in Minas Gerais |
| title_full_unstemmed |
Brazil within Brazil : Testing the Poverty Map Methodology in Minas Gerais |
| title_sort |
brazil within brazil : testing the poverty map methodology in minas gerais |
| publisher |
World Bank, Washington, DC |
| publishDate |
2012 |
| url |
http://documents.worldbank.org/curated/en/2008/02/9035947/brazil-within-brazil-testing-poverty-map-methodology-minas-gerais http://hdl.handle.net/10986/6575 |
| _version_ |
1764400548463771648 |