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Valid t-ratio Inference for IV

Author

Listed:
  • David S. Lee
  • Justin McCrary
  • Marcelo J. Moreira
  • Jack Porter

Abstract

In the single IV model, current practice relies on the first-stage F exceeding some threshold (e.g., 10) as a criterion for trusting t-ratio inferences, even though this yields an anti-conservative test. We show that a true 5 percent test instead requires an F greater than 104.7. Maintaining 10 as a threshold requires replacing the critical value 1.96 with 3.43. We re-examine 57 AER papers and find that corrected inference causes half of the initially presumed statistically significant results to be insignificant. We introduce a more powerful test, the tF procedure, which provides F-dependent adjusted t-ratio critical values.

Suggested Citation

  • David S. Lee & Justin McCrary & Marcelo J. Moreira & Jack Porter, 2020. "Valid t-ratio Inference for IV," Papers 2010.05058, arXiv.org.
  • Handle: RePEc:arx:papers:2010.05058
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    References listed on IDEAS

    as
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    More about this item

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

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