Optimal Foresight

56 Pages Posted: 3 Nov 2020

See all articles by Ryan Chahrour

Ryan Chahrour

Cornell University

Kyle Jurado

Duke University - Department of Economics

Date Written: September 11, 2020

Abstract

Agents have foresight when they receive information about a random process above and beyond the information contained in its current and past history. In this paper, we propose an information-theoretic measure of the quantity of foresight in an information structure, and show how to separate informational assumptions about foresight from physical assumptions about the dynamics of the processes itself. We then develop a theory of endogenous foresight in which the type of foresight is chosen optimally by economic agents. In a prototypical dynamic model of consumption and saving, we derive a closed-form solution to the optimal foresight problem.

Keywords: Expectations, news, information choice

JEL Classification: D83, D84, E21

Suggested Citation

Chahrour, Ryan A. and Jurado, Kyle, Optimal Foresight (September 11, 2020). Economic Research Initiatives at Duke (ERID) Working Paper No. 299, Available at SSRN: https://ssrn.com/abstract=3695293 or http://dx.doi.org/10.2139/ssrn.3695293

Ryan A. Chahrour

Cornell University ( email )

Ithaca, NY 14853
United States

Kyle Jurado (Contact Author)

Duke University - Department of Economics ( email )

213 Social Sciences Building
Box 90097
Durham, NC 27708-0204
United States

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