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Identification of Treatment Effects Using Control Functions in Models with Continuous, Endogenous Treatment and Heterogeneous Effects

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Author Info

  • J.P. Florensy

    (IDEI, Toulouse)

  • J. J. Heckmanz

    (University of Chicago and University College Dublin)

  • C. Meghirx

    (IFS and UCL)

  • E. Vytlacil

    (Yale University)

Abstract

We use the control function approach to identify the average treatment effect and the effect of treatment on the treated in models with a continuous endogenous regressor whose impact is heterogeneous. We assume a stochastic polynomial restriction on the form of the heterogeneity but, unlike alternative nonparametric control function approaches, our approach does not require large support assumptions.

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File URL: http://www.ucd.ie/geary/static/publications/workingpapers/gearywp200832.pdf
File Function: First version, 2008
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Bibliographic Info

Paper provided by Geary Institute, University College Dublin in its series Working Papers with number 200832.

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Length: 20 pages
Date of creation: 15 Dec 2008
Date of revision:
Handle: RePEc:ucd:wpaper:200832

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  1. Wooldridge, Jeffrey M., 2003. "Further results on instrumental variables estimation of average treatment effects in the correlated random coefficient model," Economics Letters, Elsevier, vol. 79(2), pages 185-191, May.
  2. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects and Econometric Policy Evaluation," NBER Working Papers 11259, National Bureau of Economic Research, Inc.
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