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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Bibliographic Details
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

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Summary:	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.

Micro-Level Estimation of Welfare

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