The effects of income imputation on micro analyses: evidence from the ECHP

Cheti Nicoletti and Franco Peracchi

No 2004-19, ISER Working Paper Series from Institute for Social and Economic Research

Abstract: Social surveys are usually affected by item and unit nonresponse. Since it is unlikely that a sample of respondents is a random sample, social scientists should take the missing data problem into account in their empirical analyses. Typically, survey methodologists try to simplify the work of data users by “completing” the data, filling the missing variables through imputation. The aim of this paper is to give data users some guidelines on how to assess the effects of imputation on their micro-level analyses. We focus attention on the potential bias caused by imputation in the analysis of income variables and poverty measures. We consider two methods for evaluating the effects of imputation, using the European Community Household Panel as an illustration.

Date: 2004-09-01
New Economics Papers: this item is included in nep-eec and nep-lab
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