The impact of alternative imputation methods on the measurement of income and wealth: Evidence from the Spanish survey of household finances
AbstractThe goal of this paper is to emphasise the importance of the way of handling missing data and its impact on the outcome of empirical studies. Using the 2002 wave of the Spanish Survey of Household Finances (EFF), I study the performance of alternative methods: listwise deletion, non-stochastic, multiple and single imputation based on linear-regression models, and hot-deck procedures. Using descriptive statistics of the marginal and conditional distributions of income and wealth and estimating mean and quantile regressions, listwise deletion brings imprecise and biased estimates, non-stochastic imputation underestimates variance and dispersion and hot deck fails to capture the potential relationships among survey variables.
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Bibliographic InfoPaper provided by Banco de Espa�a in its series Banco de Espa�a Working Papers with number 0829.
Length: 63 pages
Date of creation: 2008
Date of revision:
Household wealth surveys; imputation methods;
Find related papers by JEL classification:
- D10 - Microeconomics - - Household Behavior - - - General
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-01-10 (All new papers)
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