
Post-Publication Review of Faridani, Testing for Underpowered Literatures
Faridani, S. (2026). Testing for underpowered literatures. Journal of Econometrics, 257, 106312. https://doi.org/10.1016/j.jeconom.2026.106312
Abstract
Faridani (2026) introduces a nonparametric deconvolution method for estimating how much the proportion of statistically significant results would increase if studies used larger samples. The method is innovative because it avoids specifying a parametric distribution of true effects and can accommodate publication bias and point masses at zero. However, the estimand is an unconditional increase in significance rates, not statistical power…
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