Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation

Martin Huber, Michael Lechner and Andreas Steinmayr

No 1226, Economics Working Paper Series from University of St. Gallen, School of Economics and Political Science

Abstract: Using a simulation design that is based on empirical data, a recent study by Huber, Lechner and Wunsch (2012) finds that distance-weighted radius matching with bias adjustment as proposed in Lechner, Miquel and Wunsch (2011) is competitive among a broad range of propensity score-based estimators used to correct for mean differences due to observable covariates. In this 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 as "radiusmatch" command in the software packages GAUSS, STATA and the R package "radiusmatching".

Keywords: Propensity score matching; radius matching; selection on observables; empirical Monte Carlo study; finite sample properties (search for similar items in EconPapers)
JEL-codes: C21 (search for similar items in EconPapers)
Pages: 40 pages
Date: 2012-12
New Economics Papers: this item is included in nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (28)

Downloads: (external link)
http://ux-tauri.unisg.ch/RePEc/usg/econwp/EWP-1226.pdf (application/pdf)

Related works:
Journal Article: Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour (2015)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:usg:econwp:2012:26

Access Statistics for this paper

More papers in Economics Working Paper Series from University of St. Gallen, School of Economics and Political Science Contact information at EDIRC.
Bibliographic data for series maintained by ().