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Dynamic Voluntary Provision of Public Goods with Uncertainty: A Stochastic Differential Game Model

Wen-Kai Wang
University of St. Andrews - School of Economics and Finance

Christian-Oliver Ewald
Center for Dynamic Macroeconomic Analysis, University of St. Andrews, School of Economics and Finance; University of Sydney, School of Mathematics and Statistics


April 14, 2009


Abstract:     
Fershtman and Nitzan (1991) presented a continuous dynamic public good game model and solved the model for feedback Nash-equilibria. Wirl (1996) extended the model and considered nonlinear strategies. Both models do not include uncertainty and hence neglect an important factor in the theory of public goods. We extend the framework of Nitzan and Fershtman and include a diffusion term. We consider two cases. In the first case the volatility of the diffusion term is dependent on the current level of the public good. This setup will in principle lead to the same feedback strategies computed under certainty. In the second case the volatility is dependent on the current rate of public good provision by the agents. The result in this case is qualitatively different from the first one. We provide a detailed discussion of our results as well as numerical examples.

Keywords: Stochastic differential games, Public goods, Hamilton-Jacobi-Bellman equations

JEL Classifications: C61, C73, D21, D62

Working Paper Series

Date posted: March 09, 2008 ; Last revised: April 16, 2009

Suggested Citation

Wang, Wen-Kai and Ewald, Christian-Oliver, Dynamic Voluntary Provision of Public Goods with Uncertainty: A Stochastic Differential Game Model (April 14, 2009). Available at SSRN: http://ssrn.com/abstract=1103120


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Contact Information

Christian-Oliver Ewald (Contact Author)
Center for Dynamic Macroeconomic Analysis, University of St. Andrews, School of Economics and Finance ( email )
Castlecliffe
The Scores
St. Andrews, Fife KY16 9AL
United Kingdom
+44(0)1334 462435 (Phone)
HOME PAGE: http://www.maths.usyd.edu.au/u/ewald/
University of Sydney, School of Mathematics and Statistics ( email )
New South Wales
Sydney, NSW 2006
Australia
+ 61 2 9351 5778 (Phone)
HOME PAGE: http://www.maths.usyd.edu.au/u/ewald/
Wen-Kai Wang
University of St. Andrews - School of Economics and Finance ( email )
College Gate
St. Andrews, Fife KY16 9SS
United Kingdom
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