Year: 2022
Type: article
Abstract: For the widely-used Becker–DeGroot–Marschak (BDM) mechanism, we provide a Bayesian model of imperfect perception that formalizes the notion of misperceiving incentives and derive population-level comparative static predictions for agents that must pay a cognitive cost to improve their understanding of incentives. These predictions are not symmetric: reductions in mistakes are more robust for cost decreases than for benefit increases. Using data from an existing experiment and new experimental treatments, we find evidence in line with these predictions, suggesting that subject misperceptions respond to both the costs and benefits of better understanding the mechanism’s incentives. Moreover, a treatment that reduces the costs of perception leads to larger improvements in understanding, and these improvements are equivalent to learning with feedback.
Source: European Economic Review
Authors: Daniel Martin, Edwin Muñoz-Rodriguez
Institutions: Northwestern University, El Colegio de México
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $2,500
OpenAlex ID: W4285402910