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

Listed author(s):
  • Huber, Martin

    ()

  • Lechner, Michael

    ()

  • Steinmayr, Andreas

    ()

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".

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File URL: http://ux-tauri.unisg.ch/RePEc/usg/econwp/EWP-1226.pdf
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Paper provided by University of St. Gallen, School of Economics and Political Science in its series Economics Working Paper Series with number 1226.

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Length: 40 pages
Date of creation: Dec 2012
Handle: RePEc:usg:econwp:2012:26
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  1. Miquel, Ruth & Lechner, Michael & Wunsch, Conny, 2005. "Long-Run Effects of Public Sector Sponsored Training in West Germany," ZEW Discussion Papers 05-02, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  2. Lechner, Michael & Wunsch, Conny, 2006. "Are Training Programs More Effective When Unemployment Is High?," IZA Discussion Papers 2355, Institute for the Study of Labor (IZA).
  3. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, 07.
  4. Martin Huber, 2010. "Identification of average treatment effects in social experiments under different forms of attrition," University of St. Gallen Department of Economics working paper series 2010 2010-22, Department of Economics, University of St. Gallen.
  5. Behncke, Stefanie & Frölich, Markus & Lechner, Michael, 2008. "A Caseworker Like Me: Does the Similarity between Unemployed and Caseworker Increase Job Placements?," IZA Discussion Papers 3437, Institute for the Study of Labor (IZA).
  6. Michael Lechner & Conny Wunsch, 2009. "Active labour market policy in East Germany," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 17(4), pages 661-702, October.
  7. Lechner, Michael, 2009. "Long-run labour market and health effects of individual sports activities," Journal of Health Economics, Elsevier, vol. 28(4), pages 839-854, July.
  8. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
  9. JAMES G. MacKINNON, 2006. "Bootstrap Methods in Econometrics," The Economic Record, The Economic Society of Australia, vol. 82(s1), pages 2-18, 09.
  10. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
  11. Guido Imbens & Jeffrey Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  12. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2009. "Does Leaving Welfare Improve Health? Evidence for Germany," CEPR Discussion Papers 7421, C.E.P.R. Discussion Papers.
  13. Conny Wunsch & Michael Lechner, 2008. "What Did All the Money Do? On the General Ineffectiveness of Recent West German Labour Market Programmes," Kyklos, Wiley Blackwell, vol. 61(1), pages 134-174, 02.
  14. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," NBER Working Papers 6699, National Bureau of Economic Research, Inc.
  15. Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2008. "Inverse Probability Tilting for Moment Condition Models with Missing Data," NBER Working Papers 13981, National Bureau of Economic Research, Inc.
  16. Markus Frölich, 2004. "Finite-Sample Properties of Propensity-Score Matching and Weighting Estimators," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 77-90, February.
  17. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," Review of Economic Studies, Oxford University Press, vol. 65(2), pages 261-294.
  18. Behncke, Stefanie & Frölich, Markus & Lechner, Michael, 2007. "Unemployed and Their Caseworkers: Should They Be Friends or Foes?," CEPR Discussion Papers 6558, C.E.P.R. Discussion Papers.
  19. Guido W. Imbens, 2003. "Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review," NBER Technical Working Papers 0294, National Bureau of Economic Research, Inc.
  20. Joffe, Marshall M. & Ten Have, Thomas R. & Feldman, Harold I. & Kimmel, Stephen E., 2004. "Model Selection, Confounder Control, and Marginal Structural Models: Review and New Applications," The American Statistician, American Statistical Association, vol. 58, pages 272-279, November.
  21. Frölich, Markus, 2002. "Nonparametric IV Estimation of Local Average Treatment Effects with Covariates," IZA Discussion Papers 588, Institute for the Study of Labor (IZA).
  22. Busso, Matias & DiNardo, John & McCrary, Justin, 2009. "New Evidence on the Finite Sample Properties of Propensity Score Matching and Reweighting Estimators," IZA Discussion Papers 3998, Institute for the Study of Labor (IZA).
  23. Ahmed Khwaja & Gabriel Picone & Martin Salm & Justin G. Trogdon, 2011. "A comparison of treatment effects estimators using a structural model of AMI treatment choices and severity of illness information from hospital charts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(5), pages 825-853, 08.
  24. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
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