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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. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects and Econometric Policy Evaluation," NBER Technical Working Papers 0306, National Bureau of Economic Research, Inc.
  2. Darolles, Serge & Fan, Yanqin & Florens, Jean-Pierre & Renault, Eric, 2003. "Non Parametric Instrumental Regression," IDEI Working Papers 228, Institut d'Économie Industrielle (IDEI), Toulouse, revised 2010.
  3. 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.
  4. Bjorklund, Anders & Moffitt, Robert, 1987. "The Estimation of Wage Gains and Welfare Gains in Self-selection," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 42-49, February.
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Cited by:
  1. Jeremy T. Fox & Amit Gandhi, 2011. "Identifying Demand with Multidimensional Unobservables: A Random Functions Approach," NBER Working Papers 17557, National Bureau of Economic Research, Inc.
  2. Joseph G. Altonji & Hidehiko Ichimura & Taisuke Otsu, 2008. "Estimating Derivatives in Nonseparable Models with Limited Dependent Variables," Cowles Foundation Discussion Papers 1668, Cowles Foundation for Research in Economics, Yale University.
  3. Basu, Anirban, 2011. "Economics of individualization in comparative effectiveness research and a basis for a patient-centered health care," Journal of Health Economics, Elsevier, vol. 30(3), pages 549-559, May.
  4. 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.
  5. Marianne Simonsen & Lars Skipper & Niels Skipper, 2010. "Price Sensitivity of Demand for Prescription Drugs: Exploiting a Regression Kink Design," Economics Working Papers 2010-03, School of Economics and Management, University of Aarhus.
  6. Rothe, Christoph, 2009. "Semiparametric Estimation of Binary Response Models with Endogenous Regressors," Open Access publications from University of Toulouse 1 Capitole http://neeo.univ-tlse1.fr, University of Toulouse 1 Capitole.
  7. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2006. "Unconditional Quantile Regressions," Textos para discussão 533, Department of Economics PUC-Rio (Brazil).
  8. Lenihan, Helena, 2011. "Enterprise policy evaluation: Is there a 'new' way of doing it?," Evaluation and Program Planning, Elsevier, vol. 34(4), pages 323-332, November.
  9. Andrew Chesher, 2011. "Semiparametric structural models of binary response: shape restrictions and partial identification," CeMMAP working papers CWP31/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  10. Rothe, Christoph, 2009. "Identification of Unconditional Partial Effects in Non Separable Models," TSE Working Papers 09-054, Toulouse School of Economics (TSE).
  11. d'Haultfoeuille, Xavier & Maurel, Arnaud, 2009. "Inference on a Generalized Roy Model, with an Application to Schooling Decisions in France," IZA Discussion Papers 4606, Institute for the Study of Labor (IZA).
  12. Rothe, Christoph, 2010. "Identification of unconditional partial effects in nonseparable models," Economics Letters, Elsevier, vol. 109(3), pages 171-174, December.
  13. Juan Byron Correa Fonnegra & Carlos Augusto Viáfara López & Víctor Hugo Zuluaga González, 2011. "Desigualdad étnico-racial en la distribución del ingreso en Colombia: Un análisis a partir de Regresión Cuantílica," REVISTA SOCIEDAD Y ECONOMIA - CIDSE, UNIVERSIDAD DEL VALLE - CIDSE.

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