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A comparison of treatment effects estimators using a structural model of AMI treatment choices and severity of illness information from hospital charts

Author

Listed:
  • Ahmed Khwaja
  • Gabriel Picone
  • Martin Salm
  • Justin G. Trogdon

Abstract

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Suggested Citation

  • 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, August.
    • Handle: RePEc:wly:japmet:v:26:y:2011:i:5:p:825-853
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    Citations

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    Cited by:

    1. Hentschker, C. & Wübker, A., 2016. "The impact of technology diffusion in health care markets - Evidence from heart attack treatment," Health, Econometrics and Data Group (HEDG) Working Papers 16/29, HEDG, c/o Department of Economics, University of York.
    2. Arun Advani & Toru Kitagawa & Tymon Słoczyński, 2019. "Mostly harmless simulations? Using Monte Carlo studies for estimator selection," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 893-910, September.
    3. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    4. Lechner, Michael & Wunsch, Conny, 2013. "Sensitivity of matching-based program evaluations to the availability of control variables," Labour Economics, Elsevier, vol. 21(C), pages 111-121.
    5. Martin Huber & Michael Lechner & Andreas Steinmayr, 2015. "Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour," Empirical Economics, Springer, vol. 49(1), pages 1-31, August.
    6. Advani, Arun & Sloczynski, Tymon, 2013. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 7874, Institute of Labor Economics (IZA).
    7. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2010. "How to Control for Many Covariates? Reliable Estimators Based on the Propensity Score," IZA Discussion Papers 5268, Institute of Labor Economics (IZA).
    8. 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.
    9. Słoczyński, Tymon, 2012. "New Evidence on Linear Regression and Treatment Effect Heterogeneity," MPRA Paper 39524, University Library of Munich, Germany.
    10. Wesley Hartmann & Harikesh S. Nair & Sridhar Narayanan, 2011. "Identifying Causal Marketing Mix Effects Using a Regression Discontinuity Design," Marketing Science, INFORMS, vol. 30(6), pages 1079-1097, November.
    11. Brajaraja Mishra, 2019. "Households’ attitude about ecosystem conservation after implementation of the Forest Rights Act, 2006, in Lakhari Valley Wildlife Sanctuary, India," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 21(1), pages 1-23, June.

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