Imputation of Missing Data in Waves 1 and 2 of SHARE

Christelis, D. (2011) Imputation of Missing Data in Waves 1 and 2 of SHARE. Working Paper. SHARE-ERIC, Munich. (doi:10.2139/ssrn.1788248).

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The Survey of Health, Aging 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.

Item Type:Research Reports or Papers (Working Paper)
Keywords:Missing data, multiple imputation, Markov chain Monte Carlo, SHARE.
Glasgow Author(s) Enlighten ID:Christelis, Dr Dimitris
Authors: Christelis, D.
Subjects:H Social Sciences > HA Statistics
H Social Sciences > HB Economic Theory
College/School:College of Social Sciences > Adam Smith Business School > Economics
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