Radius Matching on the Propensity Score with Bias Adjustment: Tuning Parameters and Finite Sample Behaviour.

Huber, Martin; Lechner, Michael und Steinmayr, Andreas (2015): Radius Matching on the Propensity Score with Bias Adjustment: Tuning Parameters and Finite Sample Behaviour. In: Empirical Economics, Vol. 49, No. 1: 1 - 31

Abstract

Using a simulation design that is based on empirical data, a recent study by Huber et al. (J Econom 175:1-21, 2013) finds that distance-weighted radius matching with bias adjustment as proposed in Lechneret et al. (J Eur Econ Assoc 9:742-784, 2011) is competitive among a broad range of propensity score-based estimators used to correct for mean differences due to observable covariates. In this companion paper, we further investigate the finite sample behaviour of radius matching with respect to various tuning parameters. The results are intended to help the practitioner to choose suitable values of these parameters when using this method, which has been implemented in the software packages GAUSS, STATA and R.

• Item Type: Journal article
• Form of publication: Publisher's Version
• Keywords: Statistical Simulation Methods: General C15, Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions C21, Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models C31, Econometric Software C87
• Faculties: Economics > Chairs; Economics > Chairs > Chair of Empirical Economics
• Subjects: 300 Social sciences > 330 Economics
• ISSN: 03777332
• Language: English