Micro-Level Estimation of Welfare

The authors construct and derive the properties of estimators of welfare that take advantage of the detailed information about living standards available in small household surveys and the comprehensive coverage of a census or large sample. By comb...

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Main Authors:	Elbers, Chris, Lanjouw, Jean O., Lanjouw, Peter
Format:	Policy Research Working Paper
Language:	English en_US
Published:	World Bank, Washington, DC 2014
Subjects:	ANALYSIS OF POVERTY ASYMPTOTIC DISTRIBUTION AUTOCORRELATION BIASES CALCULATION CAPITA EXPENDITURE CAPITAL MARKETS CENSUS ENUMERATION AREA CENSUS HOUSEHOLDS CENTRAL LIMIT THEOREM CLUSTER CORRELATION COMPUTATION COMPUTATION ERROR CONSUMPTION MODEL CORRELATIONS COVARIANCE DECENTRALIZATION DEGREE OF INEQUALITY DELTA METHOD DEVELOPMENT RESEARCH DEVELOPMENT RESEARCH GROUP DISTRIBUTION OF WEALTH DISTURBANCE TERM ECONOMETRICS ECONOMIC OUTCOMES ENUMERATION EQUATIONS ESTIMATORS EXPECTED VALUE EXPECTED VALUES EXPENDITURE MODEL EXPERIMENTS EXPLANATORY VARIABLES FINANCIAL SUPPORT FIRST STAGE MODEL GINI COEFFICIENT GROWTH MODELS HETEROSCEDASTICITY HOMOSCEDASTICITY HOUSEHOLD LEVEL HOUSEHOLD SIZE HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLD-LEVEL HOUSEHOLDS HYPOTHESES IDIOSYNCRATIC COMPONENT IDIOSYNCRATIC ERROR INCOME INDICATOR FUNCTION INDICATOR OF POVERTY INEQUALITY MEASURES KURTOSIS LEVEL ESTIMATION OF WELFARE LIVING STANDARDS MATRIX MEASURE OF POVERTY MODELING MONTE CARLO SIMULATION NATIONAL INCOME NUMERICAL INTEGRATION OUTLIERS PARAMETER ESTIMATES PARAMETRIC APPROACH PERTURBATION POLITICAL ECONOMY POPULATION CENSUS POPULATION PARAMETERS POVERTY LINE POVERTY MEASURES POVERTY RATE PRECISION PREDICTION PROBABILITY RANDOM VARIABLES REGRESSORS RELIABILITY RESEARCH WORKING PAPERS RESEARCHERS SAMPLE DESIGN SAMPLING ERRORS SIMULATION SIMULATIONS SKEWNESS SMALLER GROUPS SPATIAL CORRELATION STANDARD ERROR STANDARD ERRORS STATISTICAL THEORY SURVEY DATA TIME SERIES VARIANCE-COVARIANCE MATRIX WAGES WEALTH
Online Access:	http://documents.worldbank.org/curated/en/2002/10/2042224/micro-level-estimation-welfare http://hdl.handle.net/10986/19218

id	okr-10986-19218
recordtype	oai_dc
spelling	okr-10986-192182021-04-23T14:03:42Z Micro-Level Estimation of Welfare Elbers, Chris Lanjouw, Jean O. Lanjouw, Peter ANALYSIS OF POVERTY ASYMPTOTIC DISTRIBUTION AUTOCORRELATION BIASES CALCULATION CAPITA EXPENDITURE CAPITAL MARKETS CENSUS ENUMERATION AREA CENSUS HOUSEHOLDS CENTRAL LIMIT THEOREM CLUSTER CORRELATION COMPUTATION COMPUTATION ERROR CONSUMPTION MODEL CORRELATIONS COVARIANCE DECENTRALIZATION DEGREE OF INEQUALITY DELTA METHOD DEVELOPMENT RESEARCH DEVELOPMENT RESEARCH GROUP DISTRIBUTION OF WEALTH DISTURBANCE TERM ECONOMETRICS ECONOMIC OUTCOMES ENUMERATION EQUATIONS ESTIMATORS EXPECTED VALUE EXPECTED VALUES EXPENDITURE MODEL EXPERIMENTS EXPLANATORY VARIABLES FINANCIAL SUPPORT FIRST STAGE MODEL GINI COEFFICIENT GROWTH MODELS HETEROSCEDASTICITY HOMOSCEDASTICITY HOUSEHOLD LEVEL HOUSEHOLD SIZE HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLD-LEVEL HOUSEHOLDS HYPOTHESES IDIOSYNCRATIC COMPONENT IDIOSYNCRATIC ERROR INCOME INDICATOR FUNCTION INDICATOR OF POVERTY INEQUALITY MEASURES KURTOSIS LEVEL ESTIMATION OF WELFARE LIVING STANDARDS MATRIX MEASURE OF POVERTY MODELING MONTE CARLO SIMULATION NATIONAL INCOME NUMERICAL INTEGRATION OUTLIERS PARAMETER ESTIMATES PARAMETRIC APPROACH PERTURBATION POLITICAL ECONOMY POPULATION CENSUS POPULATION PARAMETERS POVERTY LINE POVERTY MEASURES POVERTY RATE PRECISION PREDICTION PROBABILITY RANDOM VARIABLES REGRESSORS RELIABILITY RESEARCH WORKING PAPERS RESEARCHERS SAMPLE DESIGN SAMPLING ERRORS SIMULATION SIMULATIONS SKEWNESS SMALLER GROUPS SPATIAL CORRELATION STANDARD ERROR STANDARD ERRORS STATISTICAL THEORY SURVEY DATA TIME SERIES VARIANCE-COVARIANCE MATRIX WAGES WEALTH The authors construct and derive the properties of estimators of welfare that take advantage of the detailed information about living standards available in small household surveys and the comprehensive coverage of a census or large sample. By combining the strengths of each, the estimators can be used at a remarkably disaggregated level. They have a clear interpretation, are mutually comparable, and can be assessed for reliability using standard statistical theory. Using data from Ecuador, the authors obtain estimates of welfare measures, some of which are quite reliable for populations as small as 15,000 households--a "town." They provide simple illustrations of their use. Such estimates open up the possibility of testing, at a more convincing intra-country level, the many recent models relating welfare distributions to growth and a variety of socioeconomic and political outcomes. 2014-08-01T19:20:24Z 2014-08-01T19:20:24Z 2002-10 http://documents.worldbank.org/curated/en/2002/10/2042224/micro-level-estimation-welfare http://hdl.handle.net/10986/19218 English en_US Policy Research Working Paper;No. 2911 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ 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	ANALYSIS OF POVERTY ASYMPTOTIC DISTRIBUTION AUTOCORRELATION BIASES CALCULATION CAPITA EXPENDITURE CAPITAL MARKETS CENSUS ENUMERATION AREA CENSUS HOUSEHOLDS CENTRAL LIMIT THEOREM CLUSTER CORRELATION COMPUTATION COMPUTATION ERROR CONSUMPTION MODEL CORRELATIONS COVARIANCE DECENTRALIZATION DEGREE OF INEQUALITY DELTA METHOD DEVELOPMENT RESEARCH DEVELOPMENT RESEARCH GROUP DISTRIBUTION OF WEALTH DISTURBANCE TERM ECONOMETRICS ECONOMIC OUTCOMES ENUMERATION EQUATIONS ESTIMATORS EXPECTED VALUE EXPECTED VALUES EXPENDITURE MODEL EXPERIMENTS EXPLANATORY VARIABLES FINANCIAL SUPPORT FIRST STAGE MODEL GINI COEFFICIENT GROWTH MODELS HETEROSCEDASTICITY HOMOSCEDASTICITY HOUSEHOLD LEVEL HOUSEHOLD SIZE HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLD-LEVEL HOUSEHOLDS HYPOTHESES IDIOSYNCRATIC COMPONENT IDIOSYNCRATIC ERROR INCOME INDICATOR FUNCTION INDICATOR OF POVERTY INEQUALITY MEASURES KURTOSIS LEVEL ESTIMATION OF WELFARE LIVING STANDARDS MATRIX MEASURE OF POVERTY MODELING MONTE CARLO SIMULATION NATIONAL INCOME NUMERICAL INTEGRATION OUTLIERS PARAMETER ESTIMATES PARAMETRIC APPROACH PERTURBATION POLITICAL ECONOMY POPULATION CENSUS POPULATION PARAMETERS POVERTY LINE POVERTY MEASURES POVERTY RATE PRECISION PREDICTION PROBABILITY RANDOM VARIABLES REGRESSORS RELIABILITY RESEARCH WORKING PAPERS RESEARCHERS SAMPLE DESIGN SAMPLING ERRORS SIMULATION SIMULATIONS SKEWNESS SMALLER GROUPS SPATIAL CORRELATION STANDARD ERROR STANDARD ERRORS STATISTICAL THEORY SURVEY DATA TIME SERIES VARIANCE-COVARIANCE MATRIX WAGES WEALTH
spellingShingle	ANALYSIS OF POVERTY ASYMPTOTIC DISTRIBUTION AUTOCORRELATION BIASES CALCULATION CAPITA EXPENDITURE CAPITAL MARKETS CENSUS ENUMERATION AREA CENSUS HOUSEHOLDS CENTRAL LIMIT THEOREM CLUSTER CORRELATION COMPUTATION COMPUTATION ERROR CONSUMPTION MODEL CORRELATIONS COVARIANCE DECENTRALIZATION DEGREE OF INEQUALITY DELTA METHOD DEVELOPMENT RESEARCH DEVELOPMENT RESEARCH GROUP DISTRIBUTION OF WEALTH DISTURBANCE TERM ECONOMETRICS ECONOMIC OUTCOMES ENUMERATION EQUATIONS ESTIMATORS EXPECTED VALUE EXPECTED VALUES EXPENDITURE MODEL EXPERIMENTS EXPLANATORY VARIABLES FINANCIAL SUPPORT FIRST STAGE MODEL GINI COEFFICIENT GROWTH MODELS HETEROSCEDASTICITY HOMOSCEDASTICITY HOUSEHOLD LEVEL HOUSEHOLD SIZE HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLD-LEVEL HOUSEHOLDS HYPOTHESES IDIOSYNCRATIC COMPONENT IDIOSYNCRATIC ERROR INCOME INDICATOR FUNCTION INDICATOR OF POVERTY INEQUALITY MEASURES KURTOSIS LEVEL ESTIMATION OF WELFARE LIVING STANDARDS MATRIX MEASURE OF POVERTY MODELING MONTE CARLO SIMULATION NATIONAL INCOME NUMERICAL INTEGRATION OUTLIERS PARAMETER ESTIMATES PARAMETRIC APPROACH PERTURBATION POLITICAL ECONOMY POPULATION CENSUS POPULATION PARAMETERS POVERTY LINE POVERTY MEASURES POVERTY RATE PRECISION PREDICTION PROBABILITY RANDOM VARIABLES REGRESSORS RELIABILITY RESEARCH WORKING PAPERS RESEARCHERS SAMPLE DESIGN SAMPLING ERRORS SIMULATION SIMULATIONS SKEWNESS SMALLER GROUPS SPATIAL CORRELATION STANDARD ERROR STANDARD ERRORS STATISTICAL THEORY SURVEY DATA TIME SERIES VARIANCE-COVARIANCE MATRIX WAGES WEALTH Elbers, Chris Lanjouw, Jean O. Lanjouw, Peter Micro-Level Estimation of Welfare
relation	Policy Research Working Paper;No. 2911
description	The authors construct and derive the properties of estimators of welfare that take advantage of the detailed information about living standards available in small household surveys and the comprehensive coverage of a census or large sample. By combining the strengths of each, the estimators can be used at a remarkably disaggregated level. They have a clear interpretation, are mutually comparable, and can be assessed for reliability using standard statistical theory. Using data from Ecuador, the authors obtain estimates of welfare measures, some of which are quite reliable for populations as small as 15,000 households--a "town." They provide simple illustrations of their use. Such estimates open up the possibility of testing, at a more convincing intra-country level, the many recent models relating welfare distributions to growth and a variety of socioeconomic and political outcomes.
format	Publications & Research :: Policy Research Working Paper
author	Elbers, Chris Lanjouw, Jean O. Lanjouw, Peter
author_facet	Elbers, Chris Lanjouw, Jean O. Lanjouw, Peter
author_sort	Elbers, Chris
title	Micro-Level Estimation of Welfare
title_short	Micro-Level Estimation of Welfare
title_full	Micro-Level Estimation of Welfare
title_fullStr	Micro-Level Estimation of Welfare
title_full_unstemmed	Micro-Level Estimation of Welfare
title_sort	micro-level estimation of welfare
publisher	World Bank, Washington, DC
publishDate	2014
url	http://documents.worldbank.org/curated/en/2002/10/2042224/micro-level-estimation-welfare http://hdl.handle.net/10986/19218
_version_	1764439589694472192

Micro-Level Estimation of Welfare

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