The effects of income imputation on microanalyses: evidence from the European Community Household Panel

Cheti Nicoletti; Franco Peracchi

doi:10.1111/j.1467-985X.2006.00421.x

The effects of income imputation on microanalyses: evidence from the European Community Household Panel

Cheti Nicoletti, Franco Peracchi

Economics

Research output: Contribution to journal › Article › peer-review

Abstract

Social surveys are usually affected by item and unit non-response. 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 the paper is to give data users some guidelines on how to assess the effects of imputation on their microlevel analyses. We focus attention on the potential bias that is caused by imputation in the analysis of income variables, using the European Community Household Panel as an illustration.

Original language	English
Pages (from-to)	625
Number of pages	1271
Journal	Journal of the Royal Statistical Society: Series A (Statistics in Society)
Volume	169
Issue number	3
Early online date	16 May 2006
DOIs	https://doi.org/10.1111/j.1467-985X.2006.00421.x
Publication status	Published - 1 Jun 2006

Keywords

Imputation
Missing data
Income
Missing at random

Access to Document

10.1111/j.1467-985X.2006.00421.x

Cite this

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AB - Social surveys are usually affected by item and unit non-response. 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 the paper is to give data users some guidelines on how to assess the effects of imputation on their microlevel analyses. We focus attention on the potential bias that is caused by imputation in the analysis of income variables, using the European Community Household Panel as an illustration.

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