Your browser does not support the NLM PubReader view.

Go to this page to see a list of supporting browsers.
Korean Journal of Policy Studies
Graduate School of Public Administration, Seoul National University

Korean J. Policy Stud. 2010; 25(3):69-83

pISSN: 1225-5017, eISSN: 2765-2807

DOI: https://doi.org/10.52372/kjps25304

Article

Imputation Techniques in Microsimulation*

Hyunsub Kum1
1Hyunsub Kum is Assistant Professor in the Graduate School of Public Administration, Seoul National University, Korea. Email: hyunsk@snu.ac.kr.

© Copyright 2010 Graduate School of Public Administration, Seoul National University. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received: Oct 10, 2010; Revised: Oct 21, 2010; Revised: Dec 16, 2010; Accepted: Dec 08, 2010

Published Online: Dec 31, 2010

Abstract

Microsimulation has gained attention for its use in analyzing and forecasting the individual impacts of alternative economic and social policy measures. In practice, however, microsimulation cannot be carried out from a single data source, since it requires far more information than any single data source can provide. This paper discusses ways to combine separate data sources when there are no identical key variables, using imputation techniques, to make a large but synthetic data source for microsimulation. A new approach based on propensity score matching is suggested and discussed.

Keywords: microsimulation; imputation; policy analysis; data management