Simplified mental representations as a cause of overprecision

Raúl López-Pérez, Antonio Rodriguez-Moral and Marc Vorsatz

Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), 2021, vol. 92, issue C

Abstract: Although no consensus on the issue exists yet, some evidence indicates that people are typically overprecise in their inferences. In particular, subjective confidence intervals are often too narrow when compared with Bayesian ones. This paper uses a quasi-Bayesian theory and lab experiments to explore overprecision when people learn about the empirical frequency θ of some random event. Motivated by the literature on limited attention, we hypothesize that, when there is a large number of potential values of θ, individuals mentally operate with simplified representations of the objective state space. Their mental models are however sophisticated in that they co-move with the signals observed, focusing on the values of θ most consistent with the evidence available. As a result, they elaborate accurate point estimates of θ, but also become too confident about them, as they hardly reflect on those values of θ that would call more into doubt their conclusions. In this line, subjects in our experiment almost exclusively report overly narrow confidence intervals, but also unbiased point estimates of θ (except when θ takes extreme values, i.e., close to 0 or 1). Indirect evidence suggests that subjects often consider about 1/5 of the objective state space.

Keywords: Beliefs; Bias; Inference; Omission of information; Overprecision; Probability; Simplification (search for similar items in EconPapers)
JEL-codes: D01 D80 D83 D91 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceco:v:92:y:2021:i:c:s2214804321000215

DOI: 10.1016/j.socec.2021.101681

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