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econ.GN2023
Consensus and Disagreement: Information Aggregation under (not so) Naive Learning
Abhijit Banerjee, Olivier Compte
We explore a model of non-Bayesian information aggregation in networks. Agents non-cooperatively choose among Friedkin-Johnsen type aggregation rules to maximize payoffs. The DeGro…
econ.GN2023★ 1 cited
Endogenous Barriers to Learning
Olivier Compte
Building on the idea that lack of experience is a source of errors but that experience should reduce them, we model agents' behavior using a stochastic choice model (logit quantal…