Naoki Watanabe,
Ph.D.
Graduate School of
Business Administration, Keio University
4-1-1 Hiyoshi, Kohoku, Yokohama, Kanagawa 223-8526, Japan
Email:
naoki50<AT>keio.jp (replace <AT> with @)
<Academic
Degree>
2003.8, PhD in Economics,
SUNY at Stony
(committee: Yair
Tauman, Pradeep Dubey, Thomas Muench, Abraham Neyman)
<Academic
Positions Held>
2023.4-present: full professor, Keio Univ, Business
Administration, Japan
2016.4-2023.3:
associate professor, Keio Univ, Business Administration, Japan
2011.10-2016.3: associate professor, Univ of Tsukuba,
Eng, Info & Sys, Japan
2010.1-2011.9: associate professor, Univ of
Tsukuba, Sys & Info Eng, Japan
2006.4-2010.1: assistant professor, Univ of
Tsukuba, Sys & Info Eng, Japan
2005.4-2006.3: assistant professor, Hitotsubashi Univ, Econ, Japan
2004.1-2005.3: COE research fellow, Kyoto Univ,
Econ and KIER, Japan
<Upcoming
Int’l Workshop>
(in IEEE
International Conference on Big Data 2024, 15-18 December, 2024, Washington DC,
USA)
My Presentation Slides: mouse-tracking
experiment, vNM
stable sets and ADS value
<Published
Papers Written in English>
[1] “Resale-Proof
Trades of Data under Budget Constraints: A Subject Experiment,”
with Kazuhito Ogawa,
Proceedings of 2023 International Conference on Big Data (Big Data 2023), IEEE Xplore, 5665-5673, 2023
(presentation
slide, last updated on 5 July, 2024)
with Kazuhito Ogawa, Yusuke Osaki, Tetsuya
Kawamura, Hiromasa Takahashi, Satoshi Taguchi, Yoichiro Fujii,
Kengo Kurosaka, Kohei Iyori,
Proceedings of 2023 International Conference on Big Data (Big Data 2023), IEEE Xplore, 3202-3211, 2023
[3] “Efficiency
in a College Admission Experiment: A Simulation Using Cognitive Ability Scores,”
with
Tetsuya Kawamura, Kazuhito Ogawa,
Proceedings of 2023 International Conference on Big Data (Big Data 2023), IEEE Xplore, 3231-3236, 2023
[4] “A Subject Experiment of an
Approximate DGS Algorithm: Price Increment, Allocative Efficiency, and Seller's
Revenue,”
with
Yoichi Izunaga, Satoshi Takahashi,
Proceedings of 2022 International
Conference on Big Data (Big Data 2022), IEEE Xplore, 3273-3280, 2022
[5] “A Model of Pricing Data
and their Constituent Variables Traded in Two-Sided Markets with Resale: A
Subject Experiment,”
with
Toshihiko Nanba, Kazuhito Ogawa, Teruaki Hayashi,
Hiroki Sakaji,
Proceedings of 2022 International
Conference on Big Data (Big Data 2022), IEEE Xplore, 3288-3294, 2022
(presentation
slide, typos corrected on Aug 15, 2023)
with Kazuhito Ogawa,
Proceedings of 2022 International
Conference on Big Data (Big Data 2022), IEEE Xplore, 3295-3299, 2022
Review of Socionetwork
Strategies 16,
81-107, 2022
discussion paper version: Kansai
University RISS Discussion Paper Series No.62, June 2018
[8] “An Experimental Study of VCG Mechanism for Multi-unit Auctions: Competing with Machine Bidders,”
with Satoshi Takahashi and Yoichi Izunaga, Evolutionary and Institutional Economics Review 9, 97-117, 2022
discussion paper version:
Kansai University RISS Discussion Paper Series No.88, July 2020
[9] “A Numerical Study with
Experimental Data on Risk-Averse Subcontractors in Procurement Auctions
Proceedings of 2021 IEEE
International Conference on Big Data, IEEE Xplore, 3495-3499, 2022
[10] “A Simple Numerical Evaluation of the Incentive Contracts for Japan’s Defense Equipment,”
with Motohiko Kasai, Review of Socionetwork Strategies 15, 575-596, 2021
[11] “VCG Mechanism for Multi-unit Auctions and Appearance of Information: An Experiment,"
with Satoshi Takahashi and Yoichi Izunaga, Evolutionary and Institutional Economics Review 16, 357-374, 2019
a brief note version is available as Kansai
University RISS Discussion Paper Series No. 68, January 2019
[12] “Farsighted
Stability in Patent Licensing: An Abstract Game Approach,”
with T. Hirai and S. Muto, Games and Economic Behavior 118,
141-160, 2019
a manuscript version is available here.
[13] “An Approximation
Algorithm for Multi-unit Auctions: Numerical and Subject Experiments,”
with Satoshi Takahashi and Yoichi Izunaga, Operations
Research and Decisions 28, 75-95, 2018
Table 3A. is not the correct one. See the Appendix of the discussion
paper version for the correct one:
Kansai University RISS Discussion Paper Series No. 50, November 2017
[14] “von
Neumann-Morgenstern Stable Sets of a Patent Licensing Game: The Existence Proof,”
with Toshiyuki Hirai, Mathematical Social Sciences 94, 1-12 (lead article), 2018
[15] “Meaningful
Learning in Weighted Voting Games: An Experiment,’’
with Eric Guerci and Nobuyuki Hanaki, Theory and
Decision 83, 131-153, 2017
[16] “The
Kernel of a Patent Licensing Game: The Optimal Number of Licensees,” with
Shin Kishimoto,
Mathematical
Social Sciences 86 37-50,
2017
[17] “A Methodological Note on a Weighted Voting Experiment,” with Eric Guerci and Nobuyuki Hanaki,
Gabriele Esposito, Xiaoyan Lu, Social Choice and Welfare 43, 827-850, 2014
[18] “Coalition
Formation in a Weighted Voting Experiment,”
Japanese
Journal of Electoral Studies
30, 56-67, 2014
[19] “An Experimental Study of
Bidding Behavior in Procurement Auctions with Subcontract Bids:
Profits, Efficiency, and Policy Implications,” with Jun Nakabayashi,
Proceedings
of the SICE Annual Conference 2011, IEEE Xplore, 1202-1207, 2011
[20] “Bargaining
Outcomes in Patent Licensing: Asymptotic Results in a General Cournot Market,”
with Shin Kishimoto and Shigeo Muto, Mathematical Social Sciences 61,
114-123, 2011
[21] “Quality
Adjusted Prices of Japanese Mobile Phone Handsets and Carriers’ Strategies,”
with Ryo Nakajima and Takanori Ida, Review of Industrial Organization 36,
391-314, 2010
[22] “Stable Profit
Sharing in Patent Licensing: General Bargaining Outcomes,’’
with Shigeo Muto, International Journal of Game Theory 37, 505-523, 2008
[23] “The Shapley
Value of a Patent Licensing Game: Asymptotic Equivalence to
Noncooperative Results,’’ with Yair Tauman, Economic Theory 30, 135-149, 2007
[24] “Licensing
Agreements as Bargaining Outcomes: General Results and Two Examples,”
with Shigeo Muto, Advances in Mathematical Economics 8, 433-447, 2006
[25] “A Note on
the Profit Distribution among a Manufacturer and its Retailers,’’
Economics
Bulletin 12(16), 1-6, 2005
[26] “On
the Neutrality of Coalition Formation in a Pure Bargaining Problem,’’
with Haruo Imai, Japanese Economic Review 56, 352-362, 2005.
<Working
Papers>
(1)
A Mouse-Tracking
Bandit Experiment on Meaningful Learning in Weighted Voting
Presentation
Slides (European Meeting on Game Theory (SING17), University of Padova
(online), Italy, last updated on August 25, 2023)
(2) Can Subjects
Meaningfully Learn Actual Voting Powers?: Cognitive Ability and Feedback
Information
Presentation
Slides (Japanese Economic Association, the Autumnal Meeting, Osaka
University (online), on October 10, 2021, updated on January 20, 2022)
(3) Two Topics on
Patent Licensing Games: Stable Sets and Farsighted Stability
Presentation Slides
(Workshop on Innovation and Licensing, 32nd Int’l Conference on game
Theory, Stony Brook (online), July 16 in 2021, updated on September 26 in 2024)
(4) A School
Choice Experiment: Cognitive Ability and Information
Presentation
Slides (SAET annual meeting, Seoul National University (online), on June 17
in 2021)
(5) Conducting
Economic Experiments at Multiple Sites: Subjects’ Cognitive Ability and
Attribute Information
Presentation
Slides (Int’l Workshop on Lab and Field Experiments, Osaka University (online),
on March 18 in 2021)
(6) Franchise Fee
is not Advantageous
Presentation
Slides (in Japanese, 25th DC Conference, Japan, Osaka University
of Economics, October 11, 2019)
＜International Workshops Organized＞
Large-Scale Data
Utilization in Economics of Information and Management Sciences: Theory,
Computation, and Experiment
(in IEEE International Conference on Big Data 2023,
15-18 December, 2023, Sorrento, Italy)
(in IEEE International Conference on Big Data, 2022, 17-20 December,
2022, Osaka, Japan)
<Domestic
Workshops Organized>
(in Japanese,
March, 2024)
(in Japanese,
March, 2023)
<Referees for Journal
Articles Written in English>
Games and Economic
Behavior, Economic Theory, European Journal of Operational Research,
International Journal of Game Theory,
Social Choice and
Welfare, Group Decision and Negotiation, Journal of Institutional and
Theoretical Economics, Economics Letters,
International
Journal of Industrial Organization, Review of Industrial Organization, Journal
of Industry, Competition and Trade,
Japan and the
World Economy, Japanese Economic Review, Hitotsubashi
Journal of Economics, Review of Socionetwork
Strategies
<Courses
Taught>
Special Topics in
Management Science (PhD), Workshop on Data Analysis (EMBA), Information and
Decision Making (MBA),
Management Science
and Decision Making (MBA, EMBA), Management Science (MBA, EMBA), Game Theory
(G),
Game Theory:
Applications (G), Industrial Organization (G), Microeconomics (U), Statistics
(U), Programming (Java, U),
Information
Literacy (U), Contract Theory (U), Law and Economics (U), Economic Experiments
(U), Public Economics (U),
Introduction to
Multi-Agent Simulation (artisoc, U),
Students’
Presentation Slides (Management Science, in Japanese)
(2017)
group1, group2, group3, group4, group5, group6
group7, group8, group9, group10, group11, group12
(2018)
group1, group2, group3, group4, group5, group6
group7, group8, group9, group10, group11, group12
(2019)
group1, group2, group3, group4, group5, group6
group7, group8, group9, group10, group11, group12
Slides for
Classroom Discussion
(Management
Science, 2020-present, in Japanese)
note1: A Personnel Allocation Problem in a Japanese Electric
Manufacturer: Examining Algorithmic Solutions
(typos corrected on 4 Sept, 2023)
note2: A Personnel
Allocation Problem in a Japanese Electric Manufacturer: Examining Algorithmic
Solutions
note3: A Green Tea
Wholesaler in Makinohara (revised on Sept. 17, 2021;
one page added)
Leaf Tea and Powdered
Tea (Naoya Kawamura, esq., in Japanese, updated on 17 Sept, 2019)
How to Brew Japanese
Green Tea (in English, last updated on 16 Feb, 2018)
note4:
Subcontractors’ Behavior under Procurement Auctions
note5: Drill; final examination in
2017
note6:
Representation of Strategic Situations: An Introduction to Noncooperative Game
Theory
note7: Wrap-up 1, notes and comments in
2020
note8: Incentive
Provision and Risk Bearing: The Applicability of Contract Theory Reconsidered I
note9: Hidden
Information and Sorting Potential Customers: The Applicability of Contract
Theory Reconsidered II
(last updated on 4 Oct, 2024)
note10: Hold-Up
Problem: Underinvestment in Parts Transactions
note11: Future
Design, Wrap-up 2
note12: Exam and
Feedback; final
examination 2020
Extra1:
Interfirm Relationship and Video Game Development in the Home Video Industry:
Japan in 1990s
(uploaded on 6 Sept, 2023)
Extra2: R&D
Incentives and Organizational Structures
(uploaded on 18 Nov, 2023)
(Information and
Decision-Making, 2020-present, in Japanese)
Part1: Game Theory
and Organizational Economics for MBA, in Japanese
Note1: Relational Contract 1: Long-term Trading Practice as Nash Equilibrium: A Constrained Case
Note2: Relational
Contract 2: Long-term Trading Practice as Nash Equilibrium: Pareto Efficiency
Note3: Corporate Culture and Focal Point: Understanding the
Function of a Shared Way of Thinking That Cannot Be Quantified
(updated on 21 June, 2022)
Supplement: Corporate Culture and Focal Point: Walmart Retreated from Japan's Market after Struggling to Match its Operations
(updated on 27 August, 2023)
Note4: Leadership
in Team Production: Understanding the Function of Information Transmission of
Leader’s Behavior (updated on 16 Nov, 2022)
Note5: Informal
Delegation and the Function of Commitment (typos corrected on 20 Oct, 2023)
Note6: Measuring
Intrinsic Value of Decision-Making: Experiments
Extra1:
Dijkstra’s Shortest Path Algorithm: An Introduction
Extra2: Markov
Process and Markov Decision Process (updated on 10 Nov, 2021)
Extra A: Moral
Hazard in Teams and the Role of the Third Party (uploaded on 7 Oct, 2021)
Extra B: Team
Performance Contract and Multi-Task Problem (uploaded on 18 Oct, 2021)
Extra C: Relative
Performance Evaluation
Part2: Statistics
for MBA, WS on Data Analysis for EMBA, in Japanese
Linear Regression
(uploaded on 23 Sept, 2021), data1 (uploaded on
7 Oct, 2021)
Binomial Logistic
Regression (uploaded on 7 Oct, 2021), data2 (to be distributed in class)
Discriminant
Analysis (last updated on 10 Dec, 2022)
Non-Parametric Tests
(uploaded on 18 Oct, 2021)
Propensity Score
Matching (uploaded on 25 Oct, 2021), data3 (to be distributed in class)
Difference-in-Difference
Estimation (uploaded on 12 Nov, 2023), practice3 (data, to be distributed
in class)
Principal Component
Analysis (uploaded on 7 Oct, 2021)
Cluster Analysis
(last updated on 5 Nov, 2022)
Pearson’s
Chi-Squared Test and Fisher’s Exact Test (uploaded on 10 Nov, 2021)
One-Way Analysis of
Variance (one-way ANOVA) (uploaded on 17 Nov, 2021)
Two-Way Analysis of
Variance (two-way ANOVA) (uploaded on 5 Nov, 2022)
Introduction to
Bayesian Estimation
(uploaded on 10 Dec, 2022)
Data
Data
(Management Science and Decision Making, 2017)
Raw Data, Panel Data
(Management Science, 2019)
data1,
data2
(Management Science 2022)
Software: The
codes were not written for the consecutive execution. If you use the software
listed below
in such a way, the
codes may refer to numerical values remaining in the cache on your PCs and
generate
incorrect
matchings. In order to surely avoid this event, please clear your cache or
close your Excel file
for every
execution.
(a)
Excel for Two-Sided
Matching ver.3, last updated on 22 Aug, 2017
Users’ Manual (short version 1)
last updated on 20 Jan, 2018
Excel for
Two-Sided Matching ver.3.2, last updated on 24 May, 2018
bug-correction
history:
(1) May 24, 2018:
On the analyze sheet: Values in group_Aup was not the
difference in ranks of workers
after their swap but the ranks of workers
listed in groupB. We should have taken the difference
between the ranks listed in groupB and groupA. This error was
corrected on May 24 in 2018.
User’s Manual (excerpt),
last updated on 25 June, 2023.
A Note,
uploaded on Jan 30, 2018.
(b)
Excel for
Exchange of Indivisible Goods ver.2, last updated on Jan 20, 2018
Excel for
Exchange of Indivisible Goods ver.3, uploaded on April 7, 2018
Users’ Manual (excerpt), uploaded
on Sept 21, 2018
(c)
Excel for Multi-Unit
Auction, uploaded on Nov 29, 2018
Excel for Multi-Unit
Auction 2, uploaded on December 1, 2019
Users’ Manual (excerpt),
uploaded on December 21, 2019