Optimal growth and uncertainty: Learning

Christos Koulovatianos, Leonard Mirman and Marc Santugini

Journal of Economic Theory, 2009, vol. 144, issue 1, 280-295

Abstract: We introduce learning in a Brock-Mirman environment and study the effect of risk generated by the planner's econometric activity on optimal consumption and investment. Here, learning introduces two sources of risk about future payoffs: structural uncertainty and uncertainty due to the anticipation of learning. The latter renders control and learning nonseparable. We present two sets of results in a learning environment. First, conditions under which the introduction of learning increases or decreases optimal consumption are provided. The effect depends on the strengths and directions of the two sources of risk, which may pull in opposite directions. Second, the effects of the mean and riskiness of the distribution of the signal and initial beliefs on optimal consumption are studied.

Keywords: Dynamic; programming; Learning; Growth; Risk; Uncertainty (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0022-0531(08)00060-4
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Optimal Growth and Uncertainty: Learning (2008)
Working Paper: Optimal Growth and Uncertainty: Learning (2008)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jetheo:v:144:y:2009:i:1:p:280-295

Access Statistics for this article

Journal of Economic Theory is currently edited by A. Lizzeri and K. Shell

More articles in Journal of Economic Theory from Elsevier
Bibliographic data for series maintained by Catherine Liu (repec@elsevier.com).