Small Area Estimation-Based Prediction Methods to Track Poverty : Validation and Applications
Tracking poverty is predicated on the availability of comparable consumption data and reliable price deflators. However, regular series of strictly comparable data are only rarely available. Price deflators are also often missing or disputed. In re...
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| Format: | Policy Research Working Paper |
| Language: | English |
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2012
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| Online Access: | http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20110615112641 http://hdl.handle.net/10986/3447 |
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okr-10986-34472021-04-23T14:02:09Z Small Area Estimation-Based Prediction Methods to Track Poverty : Validation and Applications Christiaensen, Luc Lanjouw, Peter Luoto, Jill Stifel, David ABSOLUTE TERMS ABSOLUTE VALUE ARREARS ASSET CLASS ASSET CLASSES ASSET HOLDINGS BANK POLICY CHANGES IN POVERTY CONSUMER DURABLES CONSUMPTION DATA CONSUMPTION EXPENDITURES CONSUMPTION MEASURE CONSUMPTION PRICE CONSUMPTION SMOOTHING COUNTRY LEVEL DECLINE IN POVERTY DEPENDENT VARIABLE DEVALUATION DEVELOPMENT ECONOMICS DEVELOPMENT POLICY DEVELOPMENT RESEARCH DROP IN POVERTY DURABLES ECONOMIC GROWTH ERROR TERM ERROR TERMS ESTIMATION TECHNIQUES EXPLANATORY VARIABLES FINANCIAL CRISIS FINANCIAL MARKETS FOOD CONSUMPTION FOOD EXPENDITURE FOOD EXPENDITURES FOOD ITEMS HOUSEHOLD BUDGET HOUSEHOLD CONSUMPTION HOUSEHOLD DEMOGRAPHICS HOUSEHOLD HEAD HOUSEHOLD INCOME HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLD WELFARE HOUSING HUMAN DEVELOPMENT HUMAN DEVELOPMENT REPORT INCIDENCE OF POVERTY INCOME INCOME ELASTICITY INCOME POVERTY INCOME SHOCKS INEQUALITY INFLATION INFLATION INDICES INTERNATIONAL BANK INTERNATIONAL DEVELOPMENT LIVING STANDARDS MEASURING POVERTY MEAT MODEL SPECIFICATIONS NATIONAL POVERTY NATIONAL POVERTY LINE NUTRITIONAL STATUS PENSIONS PER CAPITA CONSUMPTION PHYSICAL ASSETS POINT ESTIMATES POLICY RESEARCH POOR POOR AREA POOR AREA DEVELOPMENT PROGRAM POOR PEOPLE POVERTY ANALYSIS POVERTY CHANGE POVERTY CHANGES POVERTY COMPARISONS POVERTY DEBATE POVERTY DECLINE POVERTY DYNAMICS POVERTY ESTIMATES POVERTY GAP POVERTY HEAD POVERTY INCIDENCE POVERTY INCIDENCE ACROSS PROVINCES POVERTY INDICATORS POVERTY LEVELS POVERTY LINES POVERTY MAPPING POVERTY MAPS POVERTY MEASURE POVERTY MEASUREMENT POVERTY MEASURES POVERTY RATE POVERTY RATES POVERTY REDUCTION QUALITY OF LIFE REDUCTION IN POVERTY REGIONAL LEVELS REGIONAL LOCATION REGIONAL PERSPECTIVE RETURNS RURAL RURAL AREAS RURAL DISTRICTS RURAL HOUSEHOLD RURAL HOUSEHOLDS RURAL VILLAGES SMALLHOLDER FARMERS STOCKS STRUCTURAL TRANSFORMATION TRANSITION ECONOMIES TRANSITORY INCOME URBAN AREAS URBAN POVERTY VEGETABLES WELFARE INDICATOR WELFARE INDICATORS WELFARE MEASURE WELFARE MONITORING Tracking poverty is predicated on the availability of comparable consumption data and reliable price deflators. However, regular series of strictly comparable data are only rarely available. Price deflators are also often missing or disputed. In response, poverty prediction methods that track consumption correlates as opposed to consumption itself have been developed. These methods typically assume that the estimated relation between consumption and its predictors is stable over time -- an assumption that cannot usually be tested directly. This study analyzes the performance of poverty prediction models based on small area estimation techniques. Predicted poverty estimates are compared with directly observed levels in two country settings where data comparability over time is not a problem. Prediction models that employ either non-staple food or non-food expenditures or a full set of assets as predictors are found to yield poverty estimates that match observed poverty well. This offers some support to the use of such methods to approximate the evolution of poverty. Two further country examples illustrate how an application of the method employing models based on household assets can help to adjudicate between alternative price deflators. 2012-03-19T18:02:38Z 2012-03-19T18:02:38Z 2011-06-01 http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20110615112641 http://hdl.handle.net/10986/3447 English Paper is funded by the Knowledge for Change Program (KCP),Policy Research working paper ; no. WPS 5683 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank Publications & Research :: Policy Research Working Paper The World Region The World Region |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English |
| topic |
ABSOLUTE TERMS ABSOLUTE VALUE ARREARS ASSET CLASS ASSET CLASSES ASSET HOLDINGS BANK POLICY CHANGES IN POVERTY CONSUMER DURABLES CONSUMPTION DATA CONSUMPTION EXPENDITURES CONSUMPTION MEASURE CONSUMPTION PRICE CONSUMPTION SMOOTHING COUNTRY LEVEL DECLINE IN POVERTY DEPENDENT VARIABLE DEVALUATION DEVELOPMENT ECONOMICS DEVELOPMENT POLICY DEVELOPMENT RESEARCH DROP IN POVERTY DURABLES ECONOMIC GROWTH ERROR TERM ERROR TERMS ESTIMATION TECHNIQUES EXPLANATORY VARIABLES FINANCIAL CRISIS FINANCIAL MARKETS FOOD CONSUMPTION FOOD EXPENDITURE FOOD EXPENDITURES FOOD ITEMS HOUSEHOLD BUDGET HOUSEHOLD CONSUMPTION HOUSEHOLD DEMOGRAPHICS HOUSEHOLD HEAD HOUSEHOLD INCOME HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLD WELFARE HOUSING HUMAN DEVELOPMENT HUMAN DEVELOPMENT REPORT INCIDENCE OF POVERTY INCOME INCOME ELASTICITY INCOME POVERTY INCOME SHOCKS INEQUALITY INFLATION INFLATION INDICES INTERNATIONAL BANK INTERNATIONAL DEVELOPMENT LIVING STANDARDS MEASURING POVERTY MEAT MODEL SPECIFICATIONS NATIONAL POVERTY NATIONAL POVERTY LINE NUTRITIONAL STATUS PENSIONS PER CAPITA CONSUMPTION PHYSICAL ASSETS POINT ESTIMATES POLICY RESEARCH POOR POOR AREA POOR AREA DEVELOPMENT PROGRAM POOR PEOPLE POVERTY ANALYSIS POVERTY CHANGE POVERTY CHANGES POVERTY COMPARISONS POVERTY DEBATE POVERTY DECLINE POVERTY DYNAMICS POVERTY ESTIMATES POVERTY GAP POVERTY HEAD POVERTY INCIDENCE POVERTY INCIDENCE ACROSS PROVINCES POVERTY INDICATORS POVERTY LEVELS POVERTY LINES POVERTY MAPPING POVERTY MAPS POVERTY MEASURE POVERTY MEASUREMENT POVERTY MEASURES POVERTY RATE POVERTY RATES POVERTY REDUCTION QUALITY OF LIFE REDUCTION IN POVERTY REGIONAL LEVELS REGIONAL LOCATION REGIONAL PERSPECTIVE RETURNS RURAL RURAL AREAS RURAL DISTRICTS RURAL HOUSEHOLD RURAL HOUSEHOLDS RURAL VILLAGES SMALLHOLDER FARMERS STOCKS STRUCTURAL TRANSFORMATION TRANSITION ECONOMIES TRANSITORY INCOME URBAN AREAS URBAN POVERTY VEGETABLES WELFARE INDICATOR WELFARE INDICATORS WELFARE MEASURE WELFARE MONITORING |
| spellingShingle |
ABSOLUTE TERMS ABSOLUTE VALUE ARREARS ASSET CLASS ASSET CLASSES ASSET HOLDINGS BANK POLICY CHANGES IN POVERTY CONSUMER DURABLES CONSUMPTION DATA CONSUMPTION EXPENDITURES CONSUMPTION MEASURE CONSUMPTION PRICE CONSUMPTION SMOOTHING COUNTRY LEVEL DECLINE IN POVERTY DEPENDENT VARIABLE DEVALUATION DEVELOPMENT ECONOMICS DEVELOPMENT POLICY DEVELOPMENT RESEARCH DROP IN POVERTY DURABLES ECONOMIC GROWTH ERROR TERM ERROR TERMS ESTIMATION TECHNIQUES EXPLANATORY VARIABLES FINANCIAL CRISIS FINANCIAL MARKETS FOOD CONSUMPTION FOOD EXPENDITURE FOOD EXPENDITURES FOOD ITEMS HOUSEHOLD BUDGET HOUSEHOLD CONSUMPTION HOUSEHOLD DEMOGRAPHICS HOUSEHOLD HEAD HOUSEHOLD INCOME HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLD WELFARE HOUSING HUMAN DEVELOPMENT HUMAN DEVELOPMENT REPORT INCIDENCE OF POVERTY INCOME INCOME ELASTICITY INCOME POVERTY INCOME SHOCKS INEQUALITY INFLATION INFLATION INDICES INTERNATIONAL BANK INTERNATIONAL DEVELOPMENT LIVING STANDARDS MEASURING POVERTY MEAT MODEL SPECIFICATIONS NATIONAL POVERTY NATIONAL POVERTY LINE NUTRITIONAL STATUS PENSIONS PER CAPITA CONSUMPTION PHYSICAL ASSETS POINT ESTIMATES POLICY RESEARCH POOR POOR AREA POOR AREA DEVELOPMENT PROGRAM POOR PEOPLE POVERTY ANALYSIS POVERTY CHANGE POVERTY CHANGES POVERTY COMPARISONS POVERTY DEBATE POVERTY DECLINE POVERTY DYNAMICS POVERTY ESTIMATES POVERTY GAP POVERTY HEAD POVERTY INCIDENCE POVERTY INCIDENCE ACROSS PROVINCES POVERTY INDICATORS POVERTY LEVELS POVERTY LINES POVERTY MAPPING POVERTY MAPS POVERTY MEASURE POVERTY MEASUREMENT POVERTY MEASURES POVERTY RATE POVERTY RATES POVERTY REDUCTION QUALITY OF LIFE REDUCTION IN POVERTY REGIONAL LEVELS REGIONAL LOCATION REGIONAL PERSPECTIVE RETURNS RURAL RURAL AREAS RURAL DISTRICTS RURAL HOUSEHOLD RURAL HOUSEHOLDS RURAL VILLAGES SMALLHOLDER FARMERS STOCKS STRUCTURAL TRANSFORMATION TRANSITION ECONOMIES TRANSITORY INCOME URBAN AREAS URBAN POVERTY VEGETABLES WELFARE INDICATOR WELFARE INDICATORS WELFARE MEASURE WELFARE MONITORING Christiaensen, Luc Lanjouw, Peter Luoto, Jill Stifel, David Small Area Estimation-Based Prediction Methods to Track Poverty : Validation and Applications |
| geographic_facet |
The World Region The World Region |
| relation |
Paper is funded by the Knowledge for Change
Program (KCP),Policy Research working paper ; no. WPS 5683 |
| description |
Tracking poverty is predicated on the
availability of comparable consumption data and reliable
price deflators. However, regular series of strictly
comparable data are only rarely available. Price deflators
are also often missing or disputed. In response, poverty
prediction methods that track consumption correlates as
opposed to consumption itself have been developed. These
methods typically assume that the estimated relation between
consumption and its predictors is stable over time -- an
assumption that cannot usually be tested directly. This
study analyzes the performance of poverty prediction models
based on small area estimation techniques. Predicted poverty
estimates are compared with directly observed levels in two
country settings where data comparability over time is not a
problem. Prediction models that employ either non-staple
food or non-food expenditures or a full set of assets as
predictors are found to yield poverty estimates that match
observed poverty well. This offers some support to the use
of such methods to approximate the evolution of poverty. Two
further country examples illustrate how an application of
the method employing models based on household assets can
help to adjudicate between alternative price deflators. |
| format |
Publications & Research :: Policy Research Working Paper |
| author |
Christiaensen, Luc Lanjouw, Peter Luoto, Jill Stifel, David |
| author_facet |
Christiaensen, Luc Lanjouw, Peter Luoto, Jill Stifel, David |
| author_sort |
Christiaensen, Luc |
| title |
Small Area Estimation-Based Prediction Methods to Track Poverty :
Validation and Applications |
| title_short |
Small Area Estimation-Based Prediction Methods to Track Poverty :
Validation and Applications |
| title_full |
Small Area Estimation-Based Prediction Methods to Track Poverty :
Validation and Applications |
| title_fullStr |
Small Area Estimation-Based Prediction Methods to Track Poverty :
Validation and Applications |
| title_full_unstemmed |
Small Area Estimation-Based Prediction Methods to Track Poverty :
Validation and Applications |
| title_sort |
small area estimation-based prediction methods to track poverty :
validation and applications |
| publishDate |
2012 |
| url |
http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20110615112641 http://hdl.handle.net/10986/3447 |
| _version_ |
1764387013625118720 |