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Kohtaro Hitomi

Researcher at Kyoto Institute of Technology

Publications -  14
Citations -  491

Kohtaro Hitomi is an academic researcher from Kyoto Institute of Technology. The author has contributed to research in topics: Estimator & Quality (business). The author has an hindex of 5, co-authored 13 publications receiving 397 citations.

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A consistent nonparametric test for nonlinear causality—Specification in time series regression

TL;DR: In this article, a nonparametric test for nonlinear causality up to the K th conditional moment was proposed, where the conditional mean of a series is not the only variable, but also the dependence between series may be nonlinear, and/or not only through conditional mean.
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Do Students Care about School Quality? Determinants of Dropout Behavior in Developing Countries

TL;DR: This article found that with the student's own ability and achievement held constant, a student is much less likely to remain in school if attending a low quality school rather than a high quality school, and individually rational behavior suggests that common arguments about a tradeoff between quality and access to schools may misstate the real issue and lead to public investment in too little quality.
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A puzzling phenomenon in semiparametric estimation problems with infinite-dimensional nuisance parameters

TL;DR: In this article, the authors consider the problem of semi-parametric estimation problems with infinite-dimensional parameters and provide necessary and sufficient conditions for the existence of the puzzle. But they do not consider the case where the parameters of interest are not infinite.

Do Students Care about School Quality? Quality-Consistent Estimates of Dropout Behavior in Developing Countries *

TL;DR: In this article, the authors show that students perceive differences in school quality, measured as expected achievement improvements in a given school, and act on it, and because of this behavioral linkage, there is an achievement bias such that common estimates of rates of return to years of school will be overstated.
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Calculation method for nonlinear dynamic least-absolute deviations estimator

TL;DR: In this paper, an approximated NLAD estimator with the same asymptotic properties as the original estimator was proposed, with the exception that ours is easier to use.