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Instrumental variables, local instrumental variables and control functions

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Author Info
Jean-Pierre Florens
James Heckman (Institute for Fiscal Studies and University of Chicago)
Costas Meghir () (Institute for Fiscal Studies and University College London)
Edward Vytlacil

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Abstract

We consider the identification of the average treatment effect in models with continuous endogenous variables whose impact is heterogeneous. We derive a testable restriction that allows us to assess the degree of unobserved heterogeneity. Our analysis uses assumptions relating to the Local Instrumental Variables (LIV) approach and the control function approach.

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File URL: http://cemmap.ifs.org.uk/wps/cwp0215.pdf
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Publisher Info
Paper provided by Centre for Microdata Methods and Practice, Institute for Fiscal Studies in its series CeMMAP working papers with number CWP15/02.

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Length: 40 pp.
Date of creation: Jul 2002
Date of revision:
Handle: RePEc:ifs:cemmap:15/02

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This paper has been announced in the following NEP Reports: References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Darolles, S. & Florens, J.-P. & Renault, É., 2002. "Nonparametric Instrumental Regression," Cahiers de recherche 05-2002, Centre interuniversitaire de recherche en économie quantitative, CIREQ. [Downloadable!]
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  2. James J. Heckman & Edward J. Vytlacil, 2000. "Local Instrumental Variables," NBER Technical Working Papers 0252, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  3. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January. [Downloadable!] (restricted)
  4. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
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  5. Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267. [Downloadable!] (restricted)
  6. Richard Blundell & James Powell, 2001. "Endogeneity in nonparametric and semiparametric regression models," CeMMAP working papers CWP09/01, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
  7. Heckman, James J & Ichimura, Hidehiko & Todd, Petra, 1998. "Matching as an Econometric Evaluation Estimator," Review of Economic Studies, Blackwell Publishing, vol. 65(2), pages 261-94, April. [Downloadable!] (restricted)
  8. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-75, March. [Downloadable!] (restricted)
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  9. Edward Vytlacil, 2002. "Independence, Monotonicity, and Latent Index Models: An Equivalence Result," Econometrica, Econometric Society, vol. 70(1), pages 331-341, January. [Downloadable!] (restricted)
  10. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097 Elsevier. [Downloadable!] (restricted)
  11. James J. Heckman & Jeffrey A. Smith, 1998. "Evaluating the Welfare State," NBER Working Papers 6542, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Fertig, Michael, 2004. "Shot Across the Bow, Stigma or Selection? The Effect of Repeating a Class on Educational Attainment," IZA Discussion Papers 1266, Institute for the Study of Labor (IZA). [Downloadable!]
  2. Richard Blundell & Xiaohong Chen & Dennis Kristensen, 2003. "Nonparametric IV estimation of shape-invariant Engel curves," CeMMAP working papers CWP15/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
  3. repec:ese:iserwp: is not listed on IDEAS
  4. DAROLLES, Serge & FLORENS, Jean-Pierre & RENAULT, Eric, 2003. "Non Parametric Instrumental Regression," IDEI Working Papers 228, Institut d'Économie Industrielle (IDEI), Toulouse. [Downloadable!]
    Other versions:
  5. James J. Heckman & Lance J. Lochner & Petra E. Todd, 2005. "Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond," IZA Discussion Papers 1700, Institute for the Study of Labor (IZA). [Downloadable!]
    Other versions:
  6. Christian Belzil & Jörgen Hansen, 2004. "A Structural Analysis of the Correlated Random Coefficient Wage Regression Model," Working Papers 0405, Groupe d'Analyse et de Théorie Economique (GATE), Centre national de la recherche scientifique (CNRS), Université Lyon 2, Ecole Normale Supérieure. [Downloadable!]
    Other versions:
  7. Heckman, James J. & Urzua, Sergio & Vytlacil, Edward, 2008. "Instrumental Variables in Models with Multiple Outcomes: The General Unordered Case," IZA Discussion Papers 3565, Institute for the Study of Labor (IZA). [Downloadable!]
    Other versions:
  8. Michael Fertig, 2004. "What Can We Learn From International Student Performance Studies? Some Methodological Remarks," RWI Discussion Papers 0023, Rheinisch-Westfälisches Institut für Wirtschaftsforschung. [Downloadable!]
  9. Thomas A. Severini & Gautam Tripathi, 2005. "Some Identification Issues in Nonparametric Linear Models with Endogenous Regressors," Working papers 2005-12, University of Connecticut, Department of Economics. [Downloadable!]
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