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Revising beliefs in light of unforeseen events
Becker,Christoph K. Melkonyan,Tigran Proto,Eugenio Sofianos,Andis Trautmann,Stefan T.
Becker,Christoph K.
Melkonyan,Tigran
Proto,Eugenio
Sofianos,Andis
Trautmann,Stefan T.
Abstract
Bayesian updating is the dominant theory of learning. However, the theory is silent about how individuals react to events that were previously unforeseen. We study how decision-makers update their beliefs if unforeseen events materialize, and under which conditions they revise their views about previously observed relationships. We base our analysis on the framework of "reverse Bayesianism," under which the relative likelihoods of prior beliefs remain unchanged after an unforeseen event materializes. We find that participants do not systematically deviate from reverse Bayesianism when the unforeseen changes result in a new world that contains elements of the old world. In contrast, if a regime change is possible, decision-makers eventually overhaul their model of the old world in favor of a completely different view of uncertainty.
Description
Date
2025-11
Journal Title
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Volume Title
Publisher
Research Projects
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Journal Issue
Keywords
Reverse bayesianism, Decision-making, Subject, Risk, Unawareness, Awareness, C11 - Bayesian Analysis: General, C91 - Laboratory, Individual Behavior, D83 - Search ; Learning ; Information and Knowledge ; Communication ; Belief ; Unawareness, D84 - Expectations ; Speculations
Citation
Becker, C K, Melkonyan, T, Proto, E, Sofianos, A & Trautmann, S T 2025, 'Revising beliefs in light of unforeseen events', Journal of the European Economic Association. https://doi.org/10.1093/jeea/jvaf038