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Propensity-Score Matching with Instrumental Variables

Author

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  • Christopher Taber
  • Hidehiko Ichimura

Abstract

No abstract is available for this item.

Suggested Citation

  • Christopher Taber & Hidehiko Ichimura, 2001. "Propensity-Score Matching with Instrumental Variables," American Economic Review, American Economic Association, vol. 91(2), pages 119-124, May.
  • Handle: RePEc:aea:aecrev:v:91:y:2001:i:2:p:119-124
    Note: DOI: 10.1257/aer.91.2.119
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    File URL: http://www.aeaweb.org/articles.php?doi=10.1257/aer.91.2.119
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    References listed on IDEAS

    as
    1. S. Darolles & Y. Fan & J. P. Florens & E. Renault, 2011. "Nonparametric Instrumental Regression," Econometrica, Econometric Society, vol. 79(5), pages 1541-1565, September.
    2. Mitali Das, 2000. "Instrumental Variables Estimation of Nonparametric Models with Discrete Endogenous Regressors," Econometric Society World Congress 2000 Contributed Papers 1008, Econometric Society.
    3. Jinyong Hahn, 1998. "On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects," Econometrica, Econometric Society, vol. 66(2), pages 315-332, March.
    4. Heckman, James J, 1990. "Varieties of Selection Bias," American Economic Review, American Economic Association, vol. 80(2), pages 313-318, May.
    5. Alberto Abadie, 2000. "Semiparametric Estimation of Instrumental Variable Models for Causal Effects," NBER Technical Working Papers 0260, National Bureau of Economic Research, Inc.
    6. Rajeev H. Dehejia & Sadek Wahba, 1998. "Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs," NBER Working Papers 6586, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Manca, A & Austin, P. C, 2008. "Using propensity score methods to analyse individual patient-level cost-effectiveness data from observational studies," Health, Econometrics and Data Group (HEDG) Working Papers 08/20, HEDG, c/o Department of Economics, University of York.
    2. Bart Cockx & Jean Ries, 2004. "The Exhaustion of Unemployment Benefits in Belgium. Does it Enhance the Probability of Employment?," CESifo Working Paper Series 1226, CESifo Group Munich.
    3. Olympia Bover, 2005. "Wealth effects on consumption: microeconometric estimates from the Spanish survey of household finances," Working Papers 0522, Banco de España;Working Papers Homepage.
    4. Jay Bhattacharya & William B. Vogt, 2007. "Do Instrumental Variables Belong in Propensity Scores?," NBER Technical Working Papers 0343, National Bureau of Economic Research, Inc.
    5. Heuermann, Daniel F. & Schmieder, Johannes F., 2014. "Warping Space: High-Speed Rail and Returns to Scale in Local Labor Markets," Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100293, Verein für Socialpolitik / German Economic Association.
    6. A. Affuso, 2007. "Credit rationing and real assets: evidence from Italian panel data," Economics Department Working Papers 2007-EP09, Department of Economics, Parma University (Italy).
    7. Mariagrazia Squicciarini, 2008. "Science Parks’ tenants versus out-of-Park firms: who innovates more? A duration model," The Journal of Technology Transfer, Springer, vol. 33(1), pages 45-71, February.
    8. Bover, Olympia, 2006. "Wealth Effects on Consumption: Microeconometric Estimates from a New Survey of Household Finances," CEPR Discussion Papers 5874, C.E.P.R. Discussion Papers.

    More about this item

    JEL classification:

    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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