skip to content

Faculty of Economics

Journal Cover

Dziubinski, M. and Roy, J.

Popularity of reinforcement-based and belief-based learning models: An evolutionary approach

Journal of Economic Dynamics and Control

Vol. 36(3) pp. 433-454 (2012)

Abstract: In an evolutionary model, players from a given population meet randomly in pairs each instant to play a coordination game. At each instant, the learning model used is determined via some replicator dynamics that respects payoff fitness. We allow for two such models: a belief-based best-response model that uses a costly predictor, and a costless reinforcement-based one. This generates dynamics over the choice of learning models and the consequent choices of endogenous variables. We report conditions under which the long run outcomes are efficient (or inefficient) and they support the exclusive use of either of the models (or their co-existence).

JEL Codes: D01, D03, D70

Author links:

Publisher's Link: http://www.sciencedirect.com/science/article/pii/S0165188911001928



Papers and Publications



Recent Publications


Huffman, D., Raymond, C. and Shvets, J. Persistent Overconfidence and Biased Memory: Evidence from Managers American Economic Review [2022]

Bhattacharya, D. and Shvets, J. Inferring Trade-Offs in University Admissions: Evidence from Cambridge Journal of Political Economy, accepted [2023]

Ding, Y. A Simple Joint Model for Returns, Volatility and Volatility of Volatility Journal of Econometrics [2023]

Evans, R. A. and Reiche, S. K. When Is a Contrarian Adviser Optimal? American Economic Journal: Microeconomics [2023]