H
Hisahiro Naito
Researcher at University of Tsukuba
Publications - 37
Citations - 348
Hisahiro Naito is an academic researcher from University of Tsukuba. The author has contributed to research in topics: Redistribution of income and wealth & Public good. The author has an hindex of 7, co-authored 37 publications receiving 314 citations. Previous affiliations of Hisahiro Naito include Osaka University & University of Michigan.
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Re-examination of uniform commodity taxes under a non-linear income tax system and its implication for production efficiency
Hisahiro Naito,Hisahiro Naito +1 more
TL;DR: This article showed that imposing a non-uniform commodity tax can Pareto-improve welfare even under nonlinear income taxation, contrary to the results in Diamond and Mirrlees (1971).
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Effect of deforestation on access to clean drinking water
TL;DR: Results of the two-stage least-squares (2SLS) with cluster and time fixed-effect estimations illustrate strong empirical evidence that deforestation decreases access to clean drinking water.
Posted Content
Labor Market Responses to Legal Work Hour Reduction: Evidence from Japan 1
TL;DR: In this paper, the causal impact of legal work hour restriction on actual hours worked was investigated and it was shown that a one-hour reduction in legal work hours led to a reduction of 0.14 hours worked, but it was not accompanied by a reduction in monthly cash earnings.
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Assessing the effects of reducing standard hours: Regression discontinuity evidence from Japan
TL;DR: In this paper, the authors examined the effect of Japan's reduction of standard hours in the 1990s on labor market outcomes, and they employed a regression discontinuity design to estimate the impacts of the policy change.
Posted Content
The Bound Estimate of the Gender Wage Convergence under Employment Compositional Change
Daiji Kawaguchi,Hisahiro Naito +1 more
TL;DR: In this paper, the authors developed a new method for estimating the convergence of the gender wage gap when the composition of workers of both genders changes, and applied two extreme trimming rules, based on two extreme distributional assumptions of unobserved characteristics, to identify the upper and lower bounds of the true gender wage convergence.