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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Main Authors: Dang, Hai-Anh, Lanjouw, Peter
Format: Policy Research Working Paper
Language:English
en_US
Published: World Bank, Washington, DC 2013
Subjects:
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
id okr-10986-15863
recordtype oai_dc
spelling 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
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language 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
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