On Reform Intensity Under Uncertainty

JOURNAL OF COMPARATIVE ECONOMICS, Vol. 25 No. 3, 1997

Posted: 16 May 1998

See all articles by Simon Johnson

Simon Johnson

Massachusetts Institute of Technology (MIT) - Entrepreneurship Center; National Bureau of Economic Research (NBER)

Panos Kouvelis

Washington University in St. Louis

Vikas Sinha

IBM Corporation

Abstract

We model policy reform as a way to affect the stochastic process of relative returns that firms face when switching from old to new activities. This stochastic process has an Ito process component that is noncontrollable and policy reforms result in jumps in relative returns that arrive according to a Poisson process. The intensity of policy reform depends on the arrival rate and magnitude of jumps. We use a single firm model to understand the reaction of the firm to such a stochastic process and the usual hysteresis results in switching between old and new activities. Aggregation to the level of all firms leads to an appropriate definition of the government payoff function, and we use this to obtain the optimal level of reform. The results are as follows: there exists and optimal level of radical reform that overcomes the hysteresis behavior of firms; if such a level is not desirable, then the intensity of policy reform is not an extreme point; and this gradual level of optimal reform is lower if uncertainty is higher.

JEL Classification: C61, E63, P20

Suggested Citation

Johnson, Simon and Kouvelis, Panos and Sinha, Vikas, On Reform Intensity Under Uncertainty. JOURNAL OF COMPARATIVE ECONOMICS, Vol. 25 No. 3, 1997, Available at SSRN: https://ssrn.com/abstract=88529

Simon Johnson (Contact Author)

Massachusetts Institute of Technology (MIT) - Entrepreneurship Center ( email )

United States
617-253-8412 (Phone)
617-258-6855 (Fax)

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

Panos Kouvelis

Washington University in St. Louis ( email )

One Brookings Drive
Campus Box 1156
St. Louis, MO 63130-4899
United States

HOME PAGE: http://www.panoskouvelis.info

Vikas Sinha

IBM Corporation

IBM MACC Center
33 Maiden Lane
New York, NY 10038
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Abstract Views
1,322
PlumX Metrics