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Instrumental Variables for Binary Treatments with Heterogeneous Treatment Effects: A Simple Exposition

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Author Info
Alan Manning
Abstract

This note provides a simple exposition of what IV can and cannot estimate in a model with abinary treatment variable and heterogeneous treatment effects. It shows how linear IV is amisspecification of functional form and the reason why linear IV estimates for this model willalways depend on the instrument used is because of this misspecification. It shows that if onecan estimate the correct functional form (non-linear IV) then the treatment effects areindependent of the instrument used. However, the data may not be rich enough in practice tobe able to identify these treatment effects without strong distributional assumptions. In thiscase, one will have to settle for estimates of treatment effects that are instrument-dependent.

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Paper provided by Centre for Economic Performance, LSE in its series CEP Discussion Papers with number dp0619.

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Date of creation: Feb 2004
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Handle: RePEc:cep:cepdps:dp0619

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Related research
Keywords: Instrumental Variables; treatment effects; identification;

Find related papers by JEL classification:
C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

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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. Angrist, Joshua D., 2003. "Treatment Effect Heterogeneity in Theory and Practice," IZA Discussion Papers 851, Institute for the Study of Labor (IZA). [Downloadable!]
    Other versions:
  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. Joshua D. Angrist & Guido W. Imbens, 1991. "Sources of Identifying Information in Evaluation Models," NBER Technical Working Papers 0117, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  4. 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)
    Other versions:
  5. Edward Vytlacil, 2002. "Independence, Monotonicity, and Latent Index Models: An Equivalence Result," Econometrica, Econometric Society, vol. 70(1), pages 331-341, January. [Downloadable!] (restricted)
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(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. Brendan Kline & Justin L. Tobias, 2008. "The wages of BMI: Bayesian analysis of a skewed treatment-response model with nonparametric endogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(6), pages 767-793. [Downloadable!]
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