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Part of book or chapter of book . 2002 . Peer-reviewed

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Alternative Approaches to Statistical Matching

Name: Alternative Approaches to Statistical Matching
Creator: Susanne Rässler

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 01 Jan 2002Publisher:Springer New York

Authors: Susanne Rässler;

doi: 10.1007/978-1-4613-0053-3_4

Alternative Approaches to Statistical Matching

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Abstract

Throughout this chapter we consider the matching problem as a problem of “file concatenation”, a term coined by Rubin (1986); see Figure 4.1. First the two files A and B are concatenated and then the missing values of each part are multiply imputed to reflect uncertainty about the missing data and the unknown association of the variables never jointly observed. Thus our task is again to impute the missing data of X in file A and the missing data of Y in file B. U obs file A denotes the variables Z and Y and in file B, Z and X, respectively. Basically, this is a classical imputation problem.

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University of Erlangen-Nuremberg
Germany

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