Readings
All readings are available for download from the readings folder on Google Drive.
Week 1
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Kahneman & Tversky (1979): Prospect Theory: An Analysis of Decision under Risk
- Mason & Suri (2012): Conducting behavioral research on Amazon’s Mechanical Turk
- Kneeland (2015): Identifying higher-order rationality
Week 2
- Camerer, Ho, and Chong (2004): A Cognitive Hierarchy Model of Games
- McKelvey & Palfrey (1995): Quantal Response Equilibria for Normal Form Games
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Optional: Wright & Leyton-Brown (2017): Predicting human behavior in unrepeated, simultaneous-move games
- Crawford & Iriberri (2007): Fatal attraction: Salience, naivete, and sophistication in experimental “hide-and-seek” games
- Burchardi and Penczynski (2014): Out of your mind: Eliciting individual reasoning in one shot games
- Optional: Wright & Leyton-Brown (2019): Level-0 Models for Predicting Human Behavior in Games
Week 3
- Kahneman, Knetsch, and Thaler (1986): Fairness as a Constraint on Profit Seeking: Entitlements in the Market
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Gal, Mash, Procaccia, and Zick (2017): Which Is the Fairest (Rent Division) of Them All?
- Camerer & Ho (1999): Experience-Weighted Attraction Learning in Normal Form Games
- Chen, Liu, Chen, and Lee (2011): Bounded memory, inertia, sampling and weighting model for market entry games
Week 4
- Hart & Mas-Colell (2000): A Simple Adaptive Procedure Leading to Correlated Equilibrium
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Nekipelov, Syrgkanis, and Tardos (2015): Econometrics for Learning Agents
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Rabin (2000): Risk Aversion and Expected-Utility Theory: A Calibration Theorem
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Khaw et al. (2017): Risk Aversion as a Perceptual Bias
- Benartzi & Thaler (1995): Myopic Loss Aversion and the Equity Premium Puzzle
Additional topics
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Bargaining: Camerer, Nave, and Smith (2018): Dynamic Unstructured Bargaining with Private Information: Theory, Experiment, and Outcome Prediction via Machine Learning
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Behavioral Macroeconomics: De Grauwe & Ji (2016): International Correlation of Business Cycles in a Behavioral Macroeconomic Model
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Behavioral Macroeconomics: Wu & Brynjolfsson (2015): The Future of Prediction: How Google Searches Foreshadow Housing Prices and Sales