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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Publisher's URL: http://www.share-project.org/share-publications/share-working-paper-series.html
Abstract
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. |
| Status: | Published |
| Glasgow Author(s) Enlighten ID: | Christelis, Professor 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 |
| Publisher: | SHARE-ERIC |
| Related URLs: |
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