Evolutionarily Stable (Mis)specifications: Theory and Applications
@article{He2021EvolutionarilyS, title={Evolutionarily Stable (Mis)specifications: Theory and Applications}, author={Kevin He and Jonathan Libgober}, journal={Proceedings of the 22nd ACM Conference on Economics and Computation}, year={2021} }
We introduce an evolutionary framework to evaluate competing (mis)specifications in strategic situations, focusing on which misspecifications can persist over a correct specification. Agents with heterogeneous specifications coexist in a society and repeatedly match against random opponents to play a stage game. They draw Bayesian inferences about the environment based on personal experience, so their learning depends on the distribution of specifications and matching assortativity in the…
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References
SHOWING 1-10 OF 64 REFERENCES
Berk-Nash Equilibrium: A Framework for Modeling Agents with Misspecified Models
- Economics
- 2014
An equilibrium framework that relaxes the standard assumption that people have a correctly-specified view of their environment and introduces the notion of a Berk-Nash equilibrium, where each player follows a strategy that is optimal given her belief, and her belief is restricted to be the best fit among the set of beliefs she considers possible.
Macroeconomics with Learning and Misspecification: A General Theory and Applications
- Economics
- 2019
This paper explores a form of bounded rationality where agents learn about the economy with possibly misspecified models. I consider a recursive general-equilibrium framework that nests a large class…
Stability and Robustness in Misspecified Learning Models
- Economics, Computer ScienceSSRN Electronic Journal
- 2020
An approach to analyze learning outcomes in a broad class of misspecified environments, spanning both single-agent and social learning, and provides general criteria to determine when beliefs in a given environment converge to some long-run belief either locally or globally.
Evolutionary Models of Preference Formation
- EconomicsAnnual Review of Economics
- 2019
The literature on the evolution of preferences of individuals in strategic interactions is vast and diverse. We organize the discussion around the following question: Supposing that material outcomes…
A Multi-Agent Model of Misspecified Learning with Overconfidence
- Economics
- 2020
Overconfidence has been extensively documented in psychology and economics. This paper studies the long-term interaction between two overconfident agents who learn about common payoff-relevant…
Which Misperceptions Persist?
- Economics
- 2020
We use an evolutionary model to determine what sorts of misperceptions are likely to persist. In our model, every period a new generation of agents uses their subjective models and the outcome…
Belief Convergence under Misspecified Learning: A Martingale Approach
- Economics, Computer ScienceSSRN Electronic Journal
- 2021
An approach to analyze learning outcomes in a broad class of misspecified environments, spanning both single-agent and social learning, and derives general conditions to determine when beliefs in a given environment converge to some long-run belief either locally or globally.
Limits Points of Endogenous Misspecified Learning
- Economics
- 2020
We study how a misspecified agent learns from endogenous data when their prior belief does not impose restrictions on the distribution of outcomes, but can assign probability 0 to a neighborhood of…
Biased-Belief Equilibrium
- Economics
- 2011
This work investigates how distorted, yet structured, beliefs can persist in strategic situations and imposes a mild monotonicity restriction on the feasible biased beliefs, and gets sharp predictions and novel insights into the set of stable outcomes and their supporting stable biases in various classes of games.
Evolution of Preferences
- Economics
- 1999
We model, using evolutionary game theory, the implications of endogenous determination of preferences over the outcomes of any given two-player normal form game, G. We consider a large population…