We investigate the feasibility of inferring the choices people would make (if given the opportunity) based on their neural responses to the pertinent prospects when they are not engaged in actual decision making. The ability to make such inferences is of potential value when choice data are...

We develop a revealed preference test for optimal acquisition of costly information. The test encompasses models of rational inattention, sequential signal processing, and search. We provide limits on the extent to which attention costs can be recovered from choice data. We experimentally elicit...