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Propensity-Score Matching with Instrumental Variables

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  • Christopher Taber
  • Hidehiko Ichimura

Abstract

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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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    References listed on IDEAS

    as
    1. Mitali Das, 2000. "Instrumental Variables Estimation of Nonparametric Models with Discrete Endogenous Regressors," Econometric Society World Congress 2000 Contributed Papers 1008, Econometric Society.
    2. S. Darolles & Y. Fan & J. P. Florens & E. Renault, 2011. "Nonparametric Instrumental Regression," Econometrica, Econometric Society, vol. 79(5), pages 1541-1565, September.
    3. 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.
    4. 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.
    5. Heckman, James J, 1990. "Varieties of Selection Bias," American Economic Review, American Economic Association, vol. 80(2), pages 313-318, May.
    6. Alberto Abadie, 2000. "Semiparametric Estimation of Instrumental Variable Models for Causal Effects," NBER Technical Working Papers 0260, 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. Geoffroy Enjolras & Magali Aubert, 2020. "How does crop insurance influence pesticide use? Evidence from French farms," Review of Agricultural, Food and Environmental Studies, Springer, vol. 101(4), pages 461-485, December.
    3. Haizhong Wang & Hong Yuan & Xiaolin Li & Huaxi Li, 2019. "The impact of psychological identification with home-name stocks on investor behavior: an empirical and experimental investigation," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 1109-1130, November.
    4. Tea Petrin & Dragana Radicic, 2023. "Instrument policy mix and firm size: is there complementarity between R&D subsidies and R&D tax credits?," The Journal of Technology Transfer, Springer, vol. 48(1), pages 181-215, February.
    5. Bart, COCKX & Jean, RIES, 2004. "The Exhaustion of Unemployment Benefits in Belgium. Does it Enhance the Probability of Employment ?," LIDAM Discussion Papers IRES 2004016, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    6. Antonio Trujillo & Jorge Portillo & John Vernon, 2005. "The Impact of Subsidized Health Insurance for the Poor: Evaluating the Colombian Experience Using Propensity Score Matching," International Journal of Health Economics and Management, Springer, vol. 5(3), pages 211-239, September.
    7. Affuso, Antonio, 2010. "Do public subsidies reduce credit rationing? A matching approach," MPRA Paper 24874, University Library of Munich, Germany, revised 02 Sep 2010.
    8. 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).
    9. Amir Borges Ferreira Neto, 2023. "Do public libraries impact local labour markets? Evidence from Appalachia," Spatial Economic Analysis, Taylor & Francis Journals, vol. 18(2), pages 216-238, April.
    10. Narayanan, Sudha, 2021. "Food security from free collection of foods: Evidence from India," Food Policy, Elsevier, vol. 100(C).
    11. Michael Lechner, 2007. "A Note on the Relation of Weighting and Matching Estimators," University of St. Gallen Department of Economics working paper series 2007 2007-34, Department of Economics, University of St. Gallen.
    12. Gelo, Dambala & Dikgang, Johane, 2019. "Collective action and heterogeneous welfare effects: Evidence from Ethiopian villages," World Development Perspectives, Elsevier, vol. 16(C).
    13. Olympia Bover, 2005. "Wealth effects on consumption: microeconometric estimates from the Spanish survey of household finances," Working Papers 0522, Banco de España.
    14. Jay Bhattacharya & William B. Vogt, 2007. "Do Instrumental Variables Belong in Propensity Scores?," NBER Technical Working Papers 0343, National Bureau of Economic Research, Inc.
    15. Heuermann, Daniel F. & Schmieder, Johannes F., 2014. "Warping Space: High-Speed Rail and Returns to Scale in Local Labor Markets," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100293, Verein für Socialpolitik / German Economic Association.
    16. 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.
    17. 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.

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    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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