Search Results for author: Shoya Ishimaru

Found 3 papers, 0 papers with code

What Do We Get from Two-Way Fixed Effects Regressions? Implications from Numerical Equivalence

no code implementations23 Mar 2021 Shoya Ishimaru

In any multiperiod panel, a two-way fixed effects (TWFE) regression is numerically equivalent to a first-difference (FD) regression that pools all possible between-period gaps.


Confidence-Aware Learning Assistant

no code implementations15 Feb 2021 Shoya Ishimaru, Takanori Maruichi, Andreas Dengel, Koichi Kise

(2) With the help of 20 participants, we observed that correct answer rates of questions were increased by 14% and 17% by giving feedback about correct answers without confidence and incorrect answers with confidence, respectively.


Empirical Decomposition of the IV-OLS Gap with Heterogeneous and Nonlinear Effects

no code implementations12 Jan 2021 Shoya Ishimaru

This study proposes an econometric framework to interpret and empirically decompose the difference between IV and OLS estimates given by a linear regression model when the true causal effects of the treatment are nonlinear in treatment levels and heterogeneous across covariates.


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