Emory University · Fall 2026
Course Description
This course is the second in the political science formal theory sequence. It builds on introductory game theory by extending the solution concepts from POLS 513 to richer games and—crucially—by teaching students to build original models rather than merely solve those built by others. Topics include repeated interaction and commitment, signaling, information design, mechanism design, bargaining, and principal–agent relationships.
Course Logistics
- Term: Fall 2026 (first class Thu, Aug 27; last class Tue, Dec 8)
- Meetings: Tuesdays & Thursdays, 1:00–2:15 PM · Tarbutton Hall 111
- Instructor: John W. Patty · 305 Tarbutton Hall · jwpatty@gmail.com
- Office hours: Remote, by appointment — make an appointment here
- Course platform: Enrolled students — all materials posted to Canvas
Syllabus
The Fall 2026 course syllabus is located here — full session-by-session schedule and readings.
Who Should Take This Course
This is a graduate course. I assume everyone is comfortable with the following, all covered in POLS 513:
- Dominance and iterated elimination;
- Expected payoffs and mixed/behavior strategies;
- Nash equilibrium and subgame perfect equilibrium; and
- Bayes–Nash equilibrium.
An ungraded diagnostic goes out in the first week so you can flag any gaps early.
Texts
- Required: Steven Tadelis, Game Theory: An Introduction (Princeton University Press, 2013). ISBN 9780691129082.
- Recommended: Scott Gehlbach, Formal Models of Domestic Politics, 2nd ed. (Cambridge University Press, 2022). ISBN 9781139045544.
Individual articles and my own notes make up the remaining required readings; all are posted to Canvas.
What We Cover
- I. Theoretical Foundations — repeated interaction, commitment, dynamic Bayesian games, signaling, reputation.
- II. Communication & Information Design — cheap talk, Crawford–Sobel, belief refinements, Bayesian persuasion.
- III. Mechanism Design, Markov Equilibria & Commitment.
- IV. The Craft of Formal Theory — a four-session unit on how models are built, argued, and written.
- V. Applied Political Models — electoral competition, delegation, principal–agent theory, legislative bargaining, global games.
- VI. Synthesis & Paper Development — peer workshops and individual paper meetings.
Grading
- Four homework assignments — 25%
- Model proposal (due Thu, Oct 15) — 5%
- First draft of paper (due Tue, Nov 17) — 10%
- Final paper (due Sat, Dec 19, 11:59 PM) — 35%
- Participation — 25%
Grades are not rounded. All submitted work is prepared in LaTeX and submitted as a PDF on Canvas.
Lecture Notes
- Notes on the Beer-Quiche Game and the D1 Belief Refinement.
- Notes on Global Games.
- Notes on Bayesian Persuasion.
Past Assignments
Note: Solutions located on course Canvas page
- Homework 1: Refresher
- Homework 2: Multistage and Repeated Games
- Midterm Exam
- Homework 3: Static Bayesian Games
- Homework 4: Dynamic Bayesian Games
Supplemental Materials
- Debraj Ray’s Notes on The One-Shot Deviation Principle
- Maskin and Sjostrom’s Handbook Chapter on Implementation
- Patty and Penn (2014), “Sequential Decision Making and Information Aggregation in Small Networks”
- Gailmard and Patty (2018), “Giving Advice Versus Making Decisions: Transparency, Information, and Delegation”
- Kamenica and Gentzkow (2011), “Bayesian Persuasion“
- Morris and Shin (2001), “Global Games: Theory and Applications“
- Myerson (2000), “Large Poisson Games“
- Romer and Rosenthal (1978), “Political Resource Allocation, Controlled Agendas, and the Status Quo“
- Goeree, Holt, and Palfrey (2010), “Quantal Response Equilibria“
- Fearon (1999), “Electoral Accountability and the Control of Politicians: Selecting Good Types versus Sanctioning Poor Performance“
- Akerlof and Kranton (2000), “Economics and Identity“
- Benabou (2015), “The Economics of Motivated Beliefs“
- Patty (2016), “Signaling through Obstruction“
- James Peck’s Notes on Perfect Bayesian Equilibrium