Decomposing Belief Updating: Evidence Evaluation and Posterior Formation
Job Market Paper
Draft coming soon.
While a large empirical literature documents systematic biases in belief updating, most work elicits posterior beliefs directly, leaving unresolved at which stage these biases arise. Using an experimental framework, I separate and examine the two stages of belief updating: evaluating evidence and forming posteriors with that evidence. I show that systematic distortions in the form of overestimation begin during evidence evaluation. These distortions then carry through with little additional error, suggesting that posterior beliefs are largely consistent with participants' evaluation of that evidence. Additionally, intervening at the evidence evaluation stage -- either through elicitation or information provision -- substantially improves posterior beliefs. In a second experiment, I then show that the absolute magnitude of evidence systematically shapes posterior beliefs, a dimension not captured by both Bayesian updating and a large class of behavioral models, both of which explain belief biases through distortions in the relative strength of evidence. These findings establish the importance of evidence evaluation in addressing systematic belief biases and in informing richer models of belief formation.
