Income missing values imputation: EVS 1999 and 2008

Francesco Sarracino

Income missing values imputation: EVS 1999 and 2008

Francesco Sarracino

Living Conditions

Research output: Working paper

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Abstract

Missing data is a very frequent obstacle in many social science studies. The absence of values on one or more variables can signi?cantly affect statistical analyses by reducing their precision and by introducing selection biases. Being unable to account for these aspects may result in severe misrepresentation of the phenomenon under analysis. For this reason several approaches have been proposed to impute missing values. In present work I will adopt multiple imputation to impute income missing data for Luxembourg in the European Values Study data-set of 1999 and 2008.

Original language	English
Publisher	CEPS/INSTEAD
Number of pages	28
Publication status	Published - 2011

Publication series

Name	Working Papers
Publisher	CEPS/INSTEAD
No.	2011-05

Keywords

EVS
cross-section
income
missing data
multiple imputation

Access to Document

Working Paper n°2011-05Final published version, 774 KB

Cite this

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