A Markov Chain Monte Carlo multiple imputation procedure for dealing with item nonresponse in the German SAVE survey

Schunk, Daniel

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URL:	https://ub-madoc.bib.uni-mannheim.de/2561
URN:	urn:nbn:de:bsz:180-madoc-25612
Dokumenttyp:	Arbeitspapier
Erscheinungsjahr:	2007
Titel einer Zeitschrift oder einer Reihe:	Rationalitätskonzepte, Entscheidungsverhalten und ökonomische Modellierung
Band/Volume:	07-06
Ort der Veröffentlichung:	Mannheim
Sprache der Veröffentlichung:	Englisch
Einrichtung:	Fakultät für Rechtswissenschaft und Volkswirtschaftslehre > Sonstige - Fakultät für Rechtswissenschaft und Volkswirtschaftslehre
MADOC-Schriftenreihe:	Sonderforschungsbereich 504 > Rationalitätskonzepte, Entscheidungsverhalten und ökonomische Modellierung (Laufzeit 1997 - 2008)
Fachgebiet:	330 Wirtschaft
Normierte Schlagwörter (SWD):	Deutschland , Demoskopie , Verhalten , Markov-Prozess , Monte-Carlo-Simulation
Abstract:	Important empirical information on household behavior is obtained from surveys. However, various interdependent factors that can only be controlled to a limited extent lead to unit and item nonresponse, and missing data on certain items is a frequent source of difficulties in statistical practice. This paper presents the theoretical underpinnings of a Markov Chain Monte Carlo multiple imputation procedure and applies this procedure to a socio-economic survey of German households, the SAVE survey. I discuss convergence properties and results of the iterative multiple imputation method and I compare them briefly with other imputation approaches. Concerning missing data in the SAVE survey, the results suggest that item nonresponse is not occurring randomly but is related to the included covariates. The analysis further indicates that there might be differences in the character of nonresponse across asset types. Concerning the methodology of imputation, the paper underlines that it would be of particular interest to apply different imputation methods to the same dataset and to compare the findings.