JSM 2005 Online Program

Abstract #304537

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Activity Number:	146
Type:	Contributed
Date/Time:	Monday, August 8, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Section on Survey Research Methods
Abstract - #304537
Title:	Evaluation of Imputation Methods for Complex Measures
Author(s):	Jan Goebel*+
Companies:	DIW Berlin
Address:	Koenigin Luise Str 5, Berlin, 14195, Germany
Keywords:	Imputation ; Household Income ; Inequality
Abstract:	Missing data are a problem in most surveys. Generally, weights are used to compensate for unit nonresponse, whereas plausible values are generated to replace the missings for item nonresponse. The focus of this paper is the evaluation of imputation methods used to impute plausible values for the household net income variable. Evaluations are made using the Finnish subsample of the ECHP (European Community Household Panel) on the basis of empirical comparisons within the framework of multiple imputation (Rubin 1987 and 1996). The advantage is that for this particular dataset, values of the survey (including real missing pattern) and "true" values from the register (without missing) are available. For each of the six imputation methods (i.e., Mice or Norm), it is possible to compare imputed and true register income and calculate the bias introduced by the imputation. The methods are evaluated along the distribution of the differences between true and imputed income and central point estimators such as inequality and poverty indices.

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