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Testing the Exclusion Restriction with a Single Instrument: Identification through Fourth-Order Cumulants under Latent Confounding

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  • Fernando Delbianco

Abstract

With a single instrument the exclusion restriction is untestable from second moments, and adding the instrument to the structural equation fails because the regressor is endogenous. When the endogeneity comes from a latent common cause with non-Gaussian components, the restriction becomes generically testable from the fourth-order cumulants of the first-stage and 2SLS residuals: a closed-form scalar $\theta$ is zero under exclusion and non-zero otherwise, while the direct effect itself is identified only up to two points. A companion statistic measures identification strength. Simulations show correct size under confounding, where the naive OLS test always rejects. In Card's (1995) data the test is uninformative, and says so.

Suggested Citation

  • Fernando Delbianco, 2026. "Testing the Exclusion Restriction with a Single Instrument: Identification through Fourth-Order Cumulants under Latent Confounding," Papers 2603.13505, arXiv.org, revised Sep 2026.
  • Handle: RePEc:arx:papers:2603.13505
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    References listed on IDEAS

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    1. Berkowitz, Daniel & Caner, Mehmet & Fang, Ying, 2012. "The validity of instruments revisited," Journal of Econometrics, Elsevier, vol. 166(2), pages 255-266.
    2. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
    3. Dieterle, Steven G. & Snell, Andy, 2016. "A simple diagnostic to investigate instrument validity and heterogeneous effects when using a single instrument," Labour Economics, Elsevier, vol. 42(C), pages 76-86.
    4. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    5. Thorsten Thadewald & Herbert Buning, 2007. "Jarque-Bera Test and its Competitors for Testing Normality - A Power Comparison," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(1), pages 87-105.
    6. Marco Ventura, 2018. "Testing the validity of instruments in an exactly identified equation," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 8(2), pages 159-169.
    7. Whitney K. Newey & James L. Powell, 2003. "Instrumental Variable Estimation of Nonparametric Models," Econometrica, Econometric Society, vol. 71(5), pages 1565-1578, September.
    8. Toru Kitagawa, 2015. "A Test for Instrument Validity," Econometrica, Econometric Society, vol. 83(5), pages 2043-2063, September.
    9. Aviv Nevo & Adam M. Rosen, 2012. "Identification With Imperfect Instruments," The Review of Economics and Statistics, MIT Press, vol. 94(3), pages 659-671, August.
    10. Paul Hünermund & Elias Bareinboim, 2025. "Causal inference and data fusion in econometrics," The Econometrics Journal, Royal Economic Society, vol. 28(1), pages 41-82.
    11. Ismael Mourifié & Yuanyuan Wan, 2017. "Testing Local Average Treatment Effect Assumptions," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 305-313, May.
    12. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
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