Statistical Matching Using Propensity Scores: Theory and Application to the Levy Institute Measure of Economic Well-Being

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Research , Preprint 01 Jan 2008 English Publisher:Elsevier BVJournal:SSRN Electronic Journal (eissn: 1556-5068,

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Authors: Hyunsub Kum; Thomas Masterson;

doi: 10.2139/ssrn.1136363

handle: 10419/31492

Statistical Matching Using Propensity Scores: Theory and Application to the Levy Institute Measure of Economic Well-Being

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Abstract

This paper summarizes the background, type, logic, and working procedure of the statistical matching used in the Levy Institute Measure of Economic Well-Being (LIMEW) project to combine the various data sets used to produce the synthetic data set with which the LIMEW is constructed. We use the match between the 2001 Survey of Consumer Finances and Annual Demographic Survey of Current Population Survey data sets to demonstrate the procedure and results of the matching. Challenges facing the use of this technique, such as the distribution of weights, are discussed in the conclusion.

Related Organizations

The University of Texas at Austin
United States
Seoul National University
Korea (Republic of)
Bard College
United States
Levy Economics Institute of Bard College
United States

Keywords

ddc:330, Statistical Matching, Survey of Consumer Finances, C40, C14, D31, Distribution of Income and Wealth, Annual Demographic Supplement

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