Stationary Markov Equilibria in an OLG Model with Correlated Production Shocks
Yong Wang ()
International Economic Review, 1994, vol. 35, issue 3, 731-44
Abstract:
In this paper, the author examines the existence of stationary equilibria in an overlapping generations model where production shocks are correlated over time. In general, the system is complicated by dynamic indeterminacy and possibility of sunspot equilibria. However, there exists a time-homogeneous Markov process of the state variable that represents a nonsunspot dynamic equilibrium. The long-run analysis establishes a sufficient condition for the existence of a nontrivial stationary equilibrium. Moreover, it is shown that the conventional restrictions on the production function are not sufficient to prevent the economy from converging to zero production and consumption. Copyright 1994 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.
Date: 1994
References: Add references at CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
http://links.jstor.org/sici?sici=0020-6598%2819940 ... O%3B2-P&origin=repec full text (application/pdf)
Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
Related works:
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:ier:iecrev:v:35:y:1994:i:3:p:731-44
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0020-6598
Access Statistics for this article
International Economic Review is currently edited by Harold L. Cole
More articles in International Economic Review from Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association 160 McNeil Building, 3718 Locust Walk, Philadelphia, PA 19104-6297. Contact information at EDIRC.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and ().