Stable profit sharing in a patent licensing game: general bargaining outcomes. - Naoki Watanabe 001; Shigeo Muto (Int. J. Game Theory, 2008)

Bargaining outcomes in patent licensing: Asymptotic results in a general Cournot market. - Shin Kishimoto; Naoki Watanabe 001; Shigeo Muto (Math. Soc. Sci., 2011)

A methodological note on a weighted voting experiment. - Eric Guerci; Nobuyuki Hanaki; Naoki Watanabe 001; Gabriele Esposito; Xiaoyan Lu (Soc. Choice Welf., 2014)

The kernel of a patent licensing game: The optimal number of licensees. - Shin Kishimoto; Naoki Watanabe 001 (Math. Soc. Sci., 2017)

von Neumann-Morgenstern stable sets of a patent licensing game: The existence proof. - Toshiyuki Hirai; Naoki Watanabe 001 (Math. Soc. Sci., 2018)

Farsighted stability in patent licensing: An abstract game approach. - Toshiyuki Hirai; Naoki Watanabe 001; Shigeo Muto (Games Econ. Behav., 2019)

A Numerical Study with Experimental Data on Risk-Averse Subcontractors in Procurement Auctions with Subcontract Bids. - Naoki Watanabe 001 (IEEE BigData, 2021)

A Simple Numerical Evaluation of the Incentive Contracts for Japan's Defense Equipment. - Motohiko Kasai; Naoki Watanabe 001 (Rev. Socionetwork Strateg., 2021)

A Subject Experiment of an Approximate DGS Algorithm: Price Increment, Allocative Efficiency, and Seller's Revenue. - Yoichi Izunaga; Satoshi Takahashi; Naoki Watanabe 001 (IEEE Big Data, 2022)

A Model of Pricing Data and Their Constituent Variables Traded in Two-Sided Markets with Resale: A Subject Experiment. - Toshihiko Nanba; Kazuhito Ogawa; Naoki Watanabe 001; Teruaki Hayashi; Hiroki Sakaji (IEEE Big Data, 2022)

Feedback Information on Cumulative Payoff in a Bandit Experiment: Meaningful Learning in Weighted Voting. - Kazuhito Ogawa; Naoki Watanabe 001 (IEEE Big Data, 2022)

Reconsidering Meaningful Learning in a Bandit Experiment on Weighted Voting: Subjects' Search Behavior. - Naoki Watanabe 001 (Rev. Socionetwork Strateg., 2022)

Conducting an Experiment at Multiple Sites with Small Subject Pools: How is Raven Score Effective as a Covariate? - Kazuhito Ogawa; Yusuke Osaki; Tetsuya Kawamura; Hiromasa Takahashi; Satoshi Taguchi; Yoichiro Fujii; Kengo Kurosaka; Kohei Iyori; Naoki Watanabe 001 (IEEE Big Data, 2023)

Resale-proof Trades of Data under Budget Constraints: A Subject Experiment. - Kazuhito Ogawa; Naoki Watanabe 001 (IEEE Big Data, 2023)

Efficiency in a College Admission Experiment: A Preliminary Simulation with Cognitive Ability Scores. - Naoki Watanabe 001; Tetsuya Kawamura; Kazuhito Ogawa (IEEE Big Data, 2023)

What Information Hinders or Promotes Subjects' Meaningful Learning in a Bandit Experiment for Weighted Voting?: Mouse Tracking Evidence. - Naoki Watanabe 001 (IEEE Big Data, 2024)

vNM Stable Sets and Aumann-Drèze-Shapley Value in Patent Licensing of Cost-Reducing Technologies: Asymptotic Results in General Cournot Markets. - Toshiyuki Hirai; Naoki Watanabe 001 (IEEE Big Data, 2024)