Titelaufnahme

Titel
Practical procedures to deal with common support problems in matching estimation / Michael Lechner (SEW, University of St. Gallen, CEPR, PSI, CESifo, IAB and IZA), Anthony Strittmatter (SEW, University of St. Gallen) ; IZA, Institute of Labor Economics
VerfasserLechner, Michael In der Gemeinsamen Normdatei der DNB nachschlagen In Wikipedia suchen nach Michael Lechner ; Strittmatter, Anthony In der Gemeinsamen Normdatei der DNB nachschlagen In Wikipedia suchen nach Anthony Strittmatter
KörperschaftForschungsinstitut zur Zukunft der Arbeit In der Gemeinsamen Normdatei der DNB nachschlagen In Wikipedia suchen nach Forschungsinstitut zur Zukunft der Arbeit
ErschienenBonn, Germany : IZA Institute of Labor Economics, January 2017
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Elektronische Ressource
Umfang1 Online-Ressource (26 Seiten)
SerieDiscussion paper ; no. 10532
URNurn:nbn:de:hbz:5:2-110811 Persistent Identifier (URN)
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Practical procedures to deal with common support problems in matching estimation [0.38 mb]
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Zusammenfassung

This paper assesses the performance of common estimators adjusting for differences in covariates, such as matching and regression, when faced with so-called common support problems. It also shows how different procedures suggested in the literature affect the properties of such estimators. Based on an Empirical Monte Carlo simulation design, a lack of common support is found to increase the root mean squared error (RMSE) of all investigated parametric and semiparametric estimators. Dropping observations that are off support usually improves their performance, although the magnitude of the improvement depends on the particular method used.