This paper introduces a theory of signal perception to study how people update their beliefs. By allowing perceived signals to deviate from actual signals, we identify the probability that people miss or misread signals, giving indices of conservatism and confirmatory bias. In an experiment, we elicited perceived signals from choices and obtained a structural estimation of the indices. The subjects were conservative and acted as if they missed 65% of the signals they received. Also they exhibited confirmatory bias by misreading 17% of the signals contradicting their prior beliefs.

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Keywords non-Bayesian updating, conservatism, confirmatory bias, perceived signals, belief elicitation
Persistent URL hdl.handle.net/1765/102969
Citation
Aydogan, I, Baillon, A, Emmanuel Kemel, & Li, C. (2017). Signal perception and belief updating. Retrieved from http://hdl.handle.net/1765/102969