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Evaluation of catch-up paths by an uncertain dynamic game model

Ilona Cserh\'ati, \'Eva Gyurkovics and Tibor Tak\'acs

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Abstract: To model the interaction of fiscal and monetary policy, a novel discrete-time, uncertain, infinite time horizon, dynamic game model is developed, where the uncertainties of expectations are modeled by unknown nonlinear but quadratically constrained deterministic functions. Cost-guaranteeing Nash strategies are defined for fiscal and monetary policy as two players. The model is suitable for comparative analysis of the development paths of catching-up economies. Specifically, we evaluate nine possible development paths for the Hungarian economy, where each path is characterised by a proxy for the debt-to-GDP ratio.

Date: 2025-12
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