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Valid t-ratio Inference for IV

David S. Lee, Justin McCrary, Marcelo Moreira and Jack Porter

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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.

Date: 2020-10
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (52)

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http://arxiv.org/pdf/2010.05058 Latest version (application/pdf)

Related works:
Journal Article: Valid t-Ratio Inference for IV (2022) Downloads
Working Paper: Valid t-ratio Inference for IV (2021) Downloads
Working Paper: Valid t-ratio Inference for IV (2021) Downloads
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