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Found 3 papers, 1 papers with code
Inference for Interval-Identified Parameters Selected from an Estimated Set
Interval identification of parameters such as average treatment effects, average partial effects and welfare is particularly common when using observational data and experimental data with imperfect compliance due to the endogeneity of individuals' treatment uptake.
Short and Simple Confidence Intervals when the Directions of Some Effects are Known
We provide adaptive confidence intervals on a parameter of interest in the presence of nuisance parameters when some of the nuisance parameters have known signs.
Critical Values Robust to P-hacking
From the model, we construct critical values such that, if the values are used to determine significance, and if scientists' p-hacking behavior adjusts to the new significance standards, significant results occur with the desired frequency.
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