HIAS GLECS

HIAS-E-101

Response time and revealed information structure

Abstract:

Consider a decision-maker who has an opportunity to wait for information before making a choice. He can obtain more information by waiting more, but this is costly. As a result, he endogenously determines the length of time to choose an alternative, which is called the response time. The present study models such a decision-maker as if he solves an optimal stopping problem. The model incorporates a dynamic information structure formalized as an evolving information partition, which is called filtration. I axiomatically characterize the model using behavioral data consisting of choices and response times that depend on choice situations and states. That is, from the data, we can identify filtration. that governs the decision-maker’s learning process as well as other model parameters. This result implies that using response time helps us understand the human cognitive process.

 

 

Report No.: HIAS-E-101
Author(s): Tomohito Aoyama
Affiliation: Hitotsubashi Institute for Advanced Study, Hitotsubashi University
Issued Date: December, 2020
Keywords: Response time, Subjective learning, Information acquisition
JEL: D01, D81, D83
Links: PDF, HERMES-IR, RePec