Search Results for author: Deborah Kim

Found 2 papers, 0 papers with code

On the implementation of Approximate Randomization Tests in Linear Models with a Small Number of Clusters

no code implementations17 Feb 2021 Yong Cai, Ivan A. Canay, Deborah Kim, Azeem M. Shaikh

This paper provides a user's guide to the general theory of approximate randomization tests developed in Canay, Romano, and Shaikh (2017) when specialized to linear regressions with clustered data.

On the Size Control of the Hybrid Test for Predictive Ability

no code implementations5 Aug 2020 Deborah Kim

We analyze theoretical properties of the hybrid test for superior predictability.

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