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Endogenous Treatment Effects for Count Data Models with Sample Selection or Endogenous Participation

Author

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  • Bratti, Massimiliano

    (Università degli Studi di Milano)

  • Miranda, Alfonso

    (CIDE, Mexico City)

Abstract

In this paper we propose an estimator for models in which an endogenous dichotomous treatment affects a count outcome in the presence of either sample selection or endogenous participation using maximum simulated likelihood. We allow for the treatment to have an effect on both the sample selection or the participation rule and the main outcome. Applications of this model are frequent in – but are not limited to – health economics. We show an application of the model using data from Kenkel and Terza (2001), who investigate the effect of physician advice on the amount of alcohol consumption. Our estimates suggest that in these data (i) neglecting treatment endogeneity leads to a wrongly signed effect of physician advice on drinking intensity, (ii) neglecting endogenous participation leads to an upward biased estimate of the treatment effect of physician advice on drinking intensity.

Suggested Citation

  • Bratti, Massimiliano & Miranda, Alfonso, 2010. "Endogenous Treatment Effects for Count Data Models with Sample Selection or Endogenous Participation," IZA Discussion Papers 5372, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp5372
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    References listed on IDEAS

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    17. Donald S. Kenkel & Joseph V. Terza, 2001. "The effect of physician advice on alcohol consumption: count regression with an endogenous treatment effect," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(2), pages 165-184.
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    22. Jones, Andrew M, 1989. "A Double-Hurdle Model of Cigarette Consumption," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(1), pages 23-39, Jan.-Mar..
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    More about this item

    Keywords

    maximum simulated likelihood; sample selection; count data; treatment effects; drinking; endogenous participation;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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