Imputation of Missing Data in Waves 1 and 2 of SHARE

Dimitris Christelis

CSEF Working Papers from Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy

Abstract: The 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.

Keywords: Data; Multiple Imputation; Markov Chain Monte Carlo; SHARE (search for similar items in EconPapers)
JEL-codes: C81 C83 (search for similar items in EconPapers)
Date: 2011-03-16
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Citations: View citations in EconPapers (47)

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