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A Nash Equilibrium for Differential Games with Moving-Horizon Strategies

Author

Listed:
  • Enrico Saltari

    (Universita degli Studi di Roma La Sapienza)

  • Willi Semmler

    (The New School
    University of Bielefeld)

  • Giovanni Di Bartolomeo

    (Universita degli Studi di Roma La Sapienza)

Abstract

Our paper aims at introducing a moving-horizon interaction in a strategic context. We assume that, in each instant of time, players can predict the effects of their actions and those of their opponents on a finite moving horizon. We define an equilibrium concept, which is consistent in this setting, and develop an appropriate algorithm to compute it by using nonlinear model predictive control techniques. Focusing on the length of forecasting horizon, we propose two economic interpretations for our equilibrium, based on the limited rationality and political economy literature: a simple 2 players’ nonlinear policy game, and what happens to debt stabilization when policymakers have different values of the forecasting horizon. To provide some practical insights of our approach, we consider a debt stabilization game in a monetary union. We consider three players; two nonlinear differential constraints; and assume that one player controls one instrument which is not additive but has some multiplicative effects on the state variables.

Suggested Citation

  • Enrico Saltari & Willi Semmler & Giovanni Di Bartolomeo, 2022. "A Nash Equilibrium for Differential Games with Moving-Horizon Strategies," Computational Economics, Springer;Society for Computational Economics, vol. 60(3), pages 1041-1054, October.
  • Handle: RePEc:kap:compec:v:60:y:2022:i:3:d:10.1007_s10614-021-10177-8
    DOI: 10.1007/s10614-021-10177-8
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    3. Behnaz Minooei Fard & Willi Semmler & Giovanni Di Bartolomeo, 2023. "Rare Earth Elements: A game between China and the rest of the world," Working Papers in Public Economics 235, University of Rome La Sapienza, Department of Economics and Law.

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    More about this item

    Keywords

    Strategic interactions; Non–linear models; Model predictive control; Fiscal and monetary policy; Public debt;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games

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