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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)

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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://geary.ucd.ie/images/Publications/WorkingPapers/gearywp200832.pdf
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File Function: First version, 2008
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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
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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. [Downloadable!] (restricted)
  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. [Downloadable!] (restricted)
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  1. Bryan S. Graham & James Powell, 2008. "Identification and Estimation of 'Irregular' Correlated Random Coefficient Models," NBER Working Papers 14469, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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