Article

A Stochastic Non-Zero-Sum Game of Controlling the Debt-to-GDP Ratio

Felix Dammann, Néofytos Rodosthenous, and Stéphane Villeneuve

Abstract

We introduce a non-zero-sum game between a government and a legislative body to study the optimal level of debt. Each player, with different time preferences, can intervene on the stochastic dynamics of the debt-to-GDP ratio via singular stochastic controls, in view of minimiz-ing non-continuously differentiable running costs. We completely characterise Nash equilibria in the class of Skorokhod-reflection-type policies. We highlight the importance of different time preferences resulting in qualitatively different type of equilibria. In particular, we show that, while it is always optimal for the government to devise an appropriate debt issuance policy, the legislator should opti-mally impose a debt ceiling only under relatively low discount rates and a laissez-faire policy can be optimal for high values of the legislator’s discount rate.

JEL codes

  • C61: Optimization Techniques • Programming Models • Dynamic Analysis
  • C73: Stochastic and Dynamic Games • Evolutionary Games • Repeated Games

Replaces

Felix Dammann, Néofytos Rodosthenous, and Stéphane Villeneuve, A Stochastic Non-Zero-Sum Game of Controlling the Debt-to-GDP Ratio, TSE Working Paper, n. 24-1481, October 2024.

Reference

Felix Dammann, Néofytos Rodosthenous, and Stéphane Villeneuve, A Stochastic Non-Zero-Sum Game of Controlling the Debt-to-GDP Ratio, Applied Mathematics & Optimization, 2024, forthcoming.

Published in

Applied Mathematics & Optimization, 2024, forthcoming