Imputation of Missing Data in Waves 1 and 2 of SHARE
AbstractThe Survey of Health, Ageing and Retirement in Europe (SHARE), like all large household surveys, suffers from the problem of item non-response, and hence the need of imputation of missing values arises. In this paper I describe the imputation methodology used in the first two waves of SHARE, which is the fully conditional specification approach of van Buuren, Brand, Groothuis-Oudshoorn, and Rubin (2006). Methods for assessing the convergence of the imputation process are also discussed. Finally, I give details on numerous issues affecting the implementation of the imputation process that are particular to SHARE.
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Bibliographic InfoPaper provided by Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy in its series CSEF Working Papers with number 278.
Date of creation: 16 Mar 2011
Date of revision:
Data; Multiple Imputation; Markov Chain Monte Carlo; SHARE;
Find related papers by JEL classification:
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
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- NEP-ALL-2011-03-26 (All new papers)
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- Valentino Dardanoni & Giuseppe De Luca & Salvatore Modica & Franco Peracchi, 2011.
"A Generalized Missing-Indicator Approach to Regression with Imputed Covariates,"
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1111, Einaudi Institute for Economic and Finance (EIEF), revised May 2011.
- Valentino Dardanoni & Giuseppe De Luca & Salvatore Modica & Franco Peracchi, 2012. "A generalized missing-indicator approach to regression with imputed covariates," Stata Journal, StataCorp LP, vol. 12(4), pages 575-604, December.
- Valentino Dardanoni & Giuseppe De Luca & Salvatore Modica & Franco Peracchi, 2013. "Bayesian Model Averaging for Generalized Linear Models with Missing Covariates," EIEF Working Papers Series 1311, Einaudi Institute for Economic and Finance (EIEF), revised May 2013.
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