Measuring Poverty Dynamics with Synthetic Panels Based on Cross-Sections
Panel data conventionally underpin the analysis of poverty mobility over time. However, such data are not readily available for most developing countries. Far more common are the “snap-shots” of welfare captured by cross-section surveys. This paper proposes a method to construct synthetic panel...
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2013
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Online Access: | http://documents.worldbank.org/curated/en/2013/06/17919450/measuring-poverty-dynamics-synthetic-panels-based-cross-sections http://hdl.handle.net/10986/15863 |
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okr-10986-158632021-06-14T10:24:22Z Measuring Poverty Dynamics with Synthetic Panels Based on Cross-Sections Dang, Hai-Anh Lanjouw, Peter BOOTSTRAP CALCULATION CHRONIC POVERTY COHORT ANALYSIS COMPUTATION CONFIDENCE INTERVALS CONSUMPTION DISTRIBUTION CORRELATION COEFFICIENT COUNTING COVARIANCE CUMULATIVE DISTRIBUTION DATA COLLECTION DEVELOPING COUNTRIES DEVELOPMENT ECONOMICS DEVELOPMENT ISSUES DEVELOPMENT RESEARCH DISTRIBUTIONAL EFFECTS DUMMY VARIABLES DURATION ANALYSIS ECONOMETRICS EQUATIONS ESCAPE POVERTY ESTIMATORS ETHNIC MINORITY ETHNIC MINORITY GROUPS FARM SECTOR FEMALE-HEADED HOUSEHOLDS FOOD CONSUMPTION GEOGRAPHICAL REGIONS HEADCOUNT POVERTY RATES HEADCOUNT RATIO HOUSEHOLD CHARACTERISTICS HOUSEHOLD CONSUMPTION HOUSEHOLD HEAD HOUSEHOLD HEADS HOUSEHOLD INCOME HOUSEHOLD LEVEL HOUSEHOLD LIVING STANDARDS HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLD WELFARE HOUSEHOLD WELFARE MEASURE HOUSING INCOME DYNAMICS INCOME LEVELS INDIVIDUAL LEVEL INSTRUMENTAL VARIABLES INTEGRALS LINEAR REGRESSION LIVING STANDARDS LIVING STANDARDS MEASUREMENT LIVING STANDARDS SURVEY LIVING STANDARDS SURVEYS MATHEMATICAL PROGRAMMING MATRICES MATRIX MEASUREMENT ERRORS MEASUREMENT OF POVERTY MEASURING POVERTY METHODOLOGY MISSING DATA MODELING NON-FOOD CONSUMPTION OFFICIAL POVERTY POLICY MAKERS POLICY RESEARCH POOR HOUSEHOLDS POVERTY ALLEVIATION POVERTY ASSESSMENT POVERTY DYNAMICS POVERTY ESTIMATES POVERTY LINE POVERTY LINES POVERTY MAPPING POVERTY MEASUREMENT POVERTY MEASURES POVERTY RATE POVERTY RATES POVERTY REDUCTION POVERTY STATUS PRECISION PREDICTION PREDICTIONS PROBABILITIES PROBABILITY QUESTIONNAIRES RANDOM VARIABLES RESEARCH WORKING PAPERS RURAL FARM SAFETY NET SAFETY NET PROGRAMS SAMPLE SIZE SAMPLE SURVEYS SAMPLING ERRORS SCENARIO SCHOOLING SIMULATION SIMULATIONS STANDARD DEVIATIONS STANDARD ERRORS STATA STATISTICAL ANALYSIS STATISTICAL INFERENCE STATISTICAL QUALITY CONTROL SURVEY DATA SURVEY METHODOLOGY TIME SERIES UNDERSTANDING OF POVERTY URBAN AREAS URBAN HOUSEHOLDS VULNERABILITY TO POVERTY WELFARE MEASURE chronic poverty transitory poverty synthetic panels mobility Panel data conventionally underpin the analysis of poverty mobility over time. However, such data are not readily available for most developing countries. Far more common are the “snap-shots” of welfare captured by cross-section surveys. This paper proposes a method to construct synthetic panel data from cross sections which can provide point estimates of poverty mobility. In contrast to traditional pseudo-panel methods that require multiple rounds of cross-sectional data to study poverty at the cohort level, the proposed method can be applied to settings with as few as two survey rounds and also permits investigation at the more disaggregated household level. The procedure is implemented using cross-section survey data from several countries, spanning different income levels and geographical regions. Estimates fall within the 95 percent confidence interval— or even one standard error in many cases—of those based on actual panel data. The method is not only restricted to studying poverty mobility but can also accommodate investigation of other welfare outcome dynamics. 2013-09-26T16:18:14Z 2013-09-26T16:18:14Z 2013-06 http://documents.worldbank.org/curated/en/2013/06/17919450/measuring-poverty-dynamics-synthetic-panels-based-cross-sections http://hdl.handle.net/10986/15863 English en_US Policy Research Working Paper;No. 6504 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 |
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World Bank Open Knowledge Repository |
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World Bank |
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English en_US |
topic |
BOOTSTRAP CALCULATION CHRONIC POVERTY COHORT ANALYSIS COMPUTATION CONFIDENCE INTERVALS CONSUMPTION DISTRIBUTION CORRELATION COEFFICIENT COUNTING COVARIANCE CUMULATIVE DISTRIBUTION DATA COLLECTION DEVELOPING COUNTRIES DEVELOPMENT ECONOMICS DEVELOPMENT ISSUES DEVELOPMENT RESEARCH DISTRIBUTIONAL EFFECTS DUMMY VARIABLES DURATION ANALYSIS ECONOMETRICS EQUATIONS ESCAPE POVERTY ESTIMATORS ETHNIC MINORITY ETHNIC MINORITY GROUPS FARM SECTOR FEMALE-HEADED HOUSEHOLDS FOOD CONSUMPTION GEOGRAPHICAL REGIONS HEADCOUNT POVERTY RATES HEADCOUNT RATIO HOUSEHOLD CHARACTERISTICS HOUSEHOLD CONSUMPTION HOUSEHOLD HEAD HOUSEHOLD HEADS HOUSEHOLD INCOME HOUSEHOLD LEVEL HOUSEHOLD LIVING STANDARDS HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLD WELFARE HOUSEHOLD WELFARE MEASURE HOUSING INCOME DYNAMICS INCOME LEVELS INDIVIDUAL LEVEL INSTRUMENTAL VARIABLES INTEGRALS LINEAR REGRESSION LIVING STANDARDS LIVING STANDARDS MEASUREMENT LIVING STANDARDS SURVEY LIVING STANDARDS SURVEYS MATHEMATICAL PROGRAMMING MATRICES MATRIX MEASUREMENT ERRORS MEASUREMENT OF POVERTY MEASURING POVERTY METHODOLOGY MISSING DATA MODELING NON-FOOD CONSUMPTION OFFICIAL POVERTY POLICY MAKERS POLICY RESEARCH POOR HOUSEHOLDS POVERTY ALLEVIATION POVERTY ASSESSMENT POVERTY DYNAMICS POVERTY ESTIMATES POVERTY LINE POVERTY LINES POVERTY MAPPING POVERTY MEASUREMENT POVERTY MEASURES POVERTY RATE POVERTY RATES POVERTY REDUCTION POVERTY STATUS PRECISION PREDICTION PREDICTIONS PROBABILITIES PROBABILITY QUESTIONNAIRES RANDOM VARIABLES RESEARCH WORKING PAPERS RURAL FARM SAFETY NET SAFETY NET PROGRAMS SAMPLE SIZE SAMPLE SURVEYS SAMPLING ERRORS SCENARIO SCHOOLING SIMULATION SIMULATIONS STANDARD DEVIATIONS STANDARD ERRORS STATA STATISTICAL ANALYSIS STATISTICAL INFERENCE STATISTICAL QUALITY CONTROL SURVEY DATA SURVEY METHODOLOGY TIME SERIES UNDERSTANDING OF POVERTY URBAN AREAS URBAN HOUSEHOLDS VULNERABILITY TO POVERTY WELFARE MEASURE chronic poverty transitory poverty synthetic panels mobility |
spellingShingle |
BOOTSTRAP CALCULATION CHRONIC POVERTY COHORT ANALYSIS COMPUTATION CONFIDENCE INTERVALS CONSUMPTION DISTRIBUTION CORRELATION COEFFICIENT COUNTING COVARIANCE CUMULATIVE DISTRIBUTION DATA COLLECTION DEVELOPING COUNTRIES DEVELOPMENT ECONOMICS DEVELOPMENT ISSUES DEVELOPMENT RESEARCH DISTRIBUTIONAL EFFECTS DUMMY VARIABLES DURATION ANALYSIS ECONOMETRICS EQUATIONS ESCAPE POVERTY ESTIMATORS ETHNIC MINORITY ETHNIC MINORITY GROUPS FARM SECTOR FEMALE-HEADED HOUSEHOLDS FOOD CONSUMPTION GEOGRAPHICAL REGIONS HEADCOUNT POVERTY RATES HEADCOUNT RATIO HOUSEHOLD CHARACTERISTICS HOUSEHOLD CONSUMPTION HOUSEHOLD HEAD HOUSEHOLD HEADS HOUSEHOLD INCOME HOUSEHOLD LEVEL HOUSEHOLD LIVING STANDARDS HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLD WELFARE HOUSEHOLD WELFARE MEASURE HOUSING INCOME DYNAMICS INCOME LEVELS INDIVIDUAL LEVEL INSTRUMENTAL VARIABLES INTEGRALS LINEAR REGRESSION LIVING STANDARDS LIVING STANDARDS MEASUREMENT LIVING STANDARDS SURVEY LIVING STANDARDS SURVEYS MATHEMATICAL PROGRAMMING MATRICES MATRIX MEASUREMENT ERRORS MEASUREMENT OF POVERTY MEASURING POVERTY METHODOLOGY MISSING DATA MODELING NON-FOOD CONSUMPTION OFFICIAL POVERTY POLICY MAKERS POLICY RESEARCH POOR HOUSEHOLDS POVERTY ALLEVIATION POVERTY ASSESSMENT POVERTY DYNAMICS POVERTY ESTIMATES POVERTY LINE POVERTY LINES POVERTY MAPPING POVERTY MEASUREMENT POVERTY MEASURES POVERTY RATE POVERTY RATES POVERTY REDUCTION POVERTY STATUS PRECISION PREDICTION PREDICTIONS PROBABILITIES PROBABILITY QUESTIONNAIRES RANDOM VARIABLES RESEARCH WORKING PAPERS RURAL FARM SAFETY NET SAFETY NET PROGRAMS SAMPLE SIZE SAMPLE SURVEYS SAMPLING ERRORS SCENARIO SCHOOLING SIMULATION SIMULATIONS STANDARD DEVIATIONS STANDARD ERRORS STATA STATISTICAL ANALYSIS STATISTICAL INFERENCE STATISTICAL QUALITY CONTROL SURVEY DATA SURVEY METHODOLOGY TIME SERIES UNDERSTANDING OF POVERTY URBAN AREAS URBAN HOUSEHOLDS VULNERABILITY TO POVERTY WELFARE MEASURE chronic poverty transitory poverty synthetic panels mobility Dang, Hai-Anh Lanjouw, Peter Measuring Poverty Dynamics with Synthetic Panels Based on Cross-Sections |
relation |
Policy Research Working Paper;No. 6504 |
description |
Panel data conventionally underpin the analysis of
poverty mobility over time. However, such data are
not readily available for most developing countries. Far
more common are the “snap-shots” of welfare captured
by cross-section surveys. This paper proposes a method
to construct synthetic panel data from cross sections
which can provide point estimates of poverty mobility.
In contrast to traditional pseudo-panel methods that
require multiple rounds of cross-sectional data to study
poverty at the cohort level, the proposed method can
be applied to settings with as few as two survey rounds
and also permits investigation at the more disaggregated
household level. The procedure is implemented using
cross-section survey data from several countries, spanning
different income levels and geographical regions.
Estimates fall within the 95 percent confidence interval—
or even one standard error in many cases—of those based
on actual panel data. The method is not only restricted
to studying poverty mobility but can also accommodate
investigation of other welfare outcome dynamics. |
format |
Publications & Research :: Policy Research Working Paper |
author |
Dang, Hai-Anh Lanjouw, Peter |
author_facet |
Dang, Hai-Anh Lanjouw, Peter |
author_sort |
Dang, Hai-Anh |
title |
Measuring Poverty Dynamics with Synthetic Panels Based on Cross-Sections |
title_short |
Measuring Poverty Dynamics with Synthetic Panels Based on Cross-Sections |
title_full |
Measuring Poverty Dynamics with Synthetic Panels Based on Cross-Sections |
title_fullStr |
Measuring Poverty Dynamics with Synthetic Panels Based on Cross-Sections |
title_full_unstemmed |
Measuring Poverty Dynamics with Synthetic Panels Based on Cross-Sections |
title_sort |
measuring poverty dynamics with synthetic panels based on cross-sections |
publisher |
World Bank, Washington, DC |
publishDate |
2013 |
url |
http://documents.worldbank.org/curated/en/2013/06/17919450/measuring-poverty-dynamics-synthetic-panels-based-cross-sections http://hdl.handle.net/10986/15863 |
_version_ |
1764431660187648000 |