To Weight or not to Weight? The Eternal Question of Econometricians facing Survey Data
AbstractA recurrent problem in economic studies based on survey data is to determine whether survey weights should be used or not. We show that weighted estimators are more robust than unweighted ones, but less accurate when unweighted estimators are consistent. In some circumstances, a compatibility test between the assumptions underlying the selection mechanism (i.e., the survey design and nonresponse) and the econometric model at hand can be implemented, by comparing these two estimators. Finally, we present some methods to compute the accuracy of weighted estimators.
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Bibliographic InfoPaper provided by Institut National de la Statistique et des Etudes Economiques, DESE in its series Documents de Travail de la DESE - Working Papers of the DESE with number g2009-06.
Date of creation: 2009
Date of revision:
survey weights; sample selection; inverse probability weighting; Hausman test;
Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
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