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Naoki Watanabe 0001
Person information
- affiliation: Keio University, Yokohama, Kanagawa, Japan
Other persons with the same name
- Naoki Watanabe — disambiguation page
- Naoki Watanabe 0002 — Chubu University, Kasugai, Japan
- Naoki Watanabe 0003 — Suntory Wine International Limited, Yamanashi, Japan
- Naoki Watanabe 0004 — Kyoto University, Japan
- Naoki Watanabe 0005 — Kobe University, Japan
- Naoki Watanabe 0006 — Tokyo Metropolitan University, Department of Human Mechatronics System, Japan
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2020 – today
- 2023
- [c7]Kazuhito Ogawa, Yusuke Osaki, Tetsuya Kawamura, Hiromasa Takahashi, Satoshi Taguchi, Yoichiro Fujii, Kengo Kurosaka, Kohei Iyori, Naoki Watanabe:
Conducting an Experiment at Multiple Sites with Small Subject Pools: How is Raven Score Effective as a Covariate? IEEE Big Data 2023: 3202-3211 - [c6]Naoki Watanabe, Tetsuya Kawamura, Kazuhito Ogawa:
Efficiency in a College Admission Experiment: A Preliminary Simulation with Cognitive Ability Scores. IEEE Big Data 2023: 3231-3236 - [c5]Kazuhito Ogawa, Naoki Watanabe:
Resale-proof Trades of Data under Budget Constraints: A Subject Experiment. IEEE Big Data 2023: 5665-5673 - 2022
- [j8]Naoki Watanabe
:
Reconsidering Meaningful Learning in a Bandit Experiment on Weighted Voting: Subjects' Search Behavior. Rev. Socionetwork Strateg. 16(1): 81-107 (2022) - [c4]Yoichi Izunaga
A Subject Experiment of an Approximate DGS Algorithm: Price Increment, Allocative Efficiency, and Seller's Revenue. IEEE Big Data 2022: 3273-3280 - [c3]Toshihiko Nanba, Kazuhito Ogawa, Naoki Watanabe, Teruaki Hayashi, Hiroki Sakaji:
A Model of Pricing Data and Their Constituent Variables Traded in Two-Sided Markets with Resale: A Subject Experiment. IEEE Big Data 2022: 3288-3294 - [c2]Kazuhito Ogawa, Naoki Watanabe:
Feedback Information on Cumulative Payoff in a Bandit Experiment: Meaningful Learning in Weighted Voting. IEEE Big Data 2022: 3295-3299 - 2021
- [j7]Motohiko Kasai, Naoki Watanabe
A Simple Numerical Evaluation of the Incentive Contracts for Japan's Defense Equipment. Rev. Socionetwork Strateg. 15(2): 575-596 (2021) - [c1]Naoki Watanabe
A Numerical Study with Experimental Data on Risk-Averse Subcontractors in Procurement Auctions with Subcontract Bids. IEEE BigData 2021: 3495-3499
2010 – 2019
- 2019
- [j6]Toshiyuki Hirai
Farsighted stability in patent licensing: An abstract game approach. Games Econ. Behav. 118: 141-160 (2019) - 2018
- [j5]Toshiyuki Hirai
von Neumann-Morgenstern stable sets of a patent licensing game: The existence proof. Math. Soc. Sci. 94: 1-12 (2018) - 2017
- [j4]Shin Kishimoto
The kernel of a patent licensing game: The optimal number of licensees. Math. Soc. Sci. 86: 37-50 (2017) - 2014
- [j3]Eric Guerci
A methodological note on a weighted voting experiment. Soc. Choice Welf. 43(4): 827-850 (2014) - 2011
- [j2]Shin Kishimoto
Bargaining outcomes in patent licensing: Asymptotic results in a general Cournot market. Math. Soc. Sci. 61(2): 114-123 (2011)
2000 – 2009
- 2008
- [j1]Naoki Watanabe
Stable profit sharing in a patent licensing game: general bargaining outcomes. Int. J. Game Theory 37(4): 505-523 (2008)
Coauthor Index
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