4 papers
Lee Bounds for Random Objects
Daisuke Kurisu, Yuta Okamoto, Taisuke Otsu
In applied research, Lee (2009) bounds are widely applied to bound the average treatment effect in the presence of selection bias. This paper extends the methodology of Lee bounds…
Difference-in-Differences with Interval Data
Daisuke Kurisu, Yuta Okamoto, Taisuke Otsu
Difference-in-differences (DID) is one of the most popular tools used to evaluate causal effects of policy interventions. This paper extends the DID methodology to accommodate inte…
Empirical Likelihood for Random Forests and Ensembles
Harold D. Chiang, Yukitoshi Matsushita, Taisuke Otsu
We develop an empirical likelihood (EL) framework for random forests and related ensemble methods, providing a likelihood-based approach to quantify their statistical uncertainty.…
Random sets from the perspective of metric statistics
Daisuke Kurisu, Yuta Okamoto, Taisuke Otsu
Since the seminal work by Beresteanu and Molinari(2008), the random set theory and related inference methods have been widely applied in partially identified econometric models. Me…