2010
DOI: 10.3233/jem-2010-0332
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Statistical matching using propensity scores: Theory and application to the analysis of the distribution of income and wealth

Abstract: This article considers the usefulness of statistical matching using propensity scores in carrying out economic research. We include an application of the procedure to a statistical match between the 2001 Survey of Consumer Finance (SCF) and the 2002 Annual Demographic Supplement (ADS) of the Current Population Survey (CPS) 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.

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Cited by 28 publications
(23 citation statements)
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“…This strategy often relies on a rank imputation, using broad strata variables to avoid undesirable matches. 3 This paper uses the methodology proposed in Kum and Masterson (2010), which has been used in the estimation of the Levy Institute Measure of Economic Well-Being (LIMEW) (Wolff and Zacharias 2003) and…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…This strategy often relies on a rank imputation, using broad strata variables to avoid undesirable matches. 3 This paper uses the methodology proposed in Kum and Masterson (2010), which has been used in the estimation of the Levy Institute Measure of Economic Well-Being (LIMEW) (Wolff and Zacharias 2003) and…”
Section: Methodsmentioning
confidence: 99%
“…The hot deck matching uses ranked information based on some auxiliary information such as the propensity score. For further details on the matching procedure, seeKum and Masterson (2010).…”
mentioning
confidence: 99%
“…We statistically match the data for analysis from the 2008 CTUS and the 2008 CHIP using a procedure developed by Hyunsub Kum and Thomas Neal Masterson (2010). 7 As major disparities exist on the level of economic development across provinces, ensuring that we match the observations to the correct province is important.…”
Section: Datamentioning
confidence: 99%
“…For a technical description and results of our matching algorithm, seeKum and Masterson (2010). For documentation of the statistical matches used in the production of the LIMEW estimates for 1992 and 2007, seeMasterson (2010); for 2010, see Rios-Avila (2014); for 2013, see Rios-Avila (forthcoming).…”
mentioning
confidence: 99%