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A Note On Optimal Debt Reduction Policies

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  • la Torre, Davide
  • Marsiglio, Simone

Abstract

We analyze the optimal debt reduction problem in an uncertainty context. The social planner has a finite horizon and seeks to minimize the social costs associated with debt repayment by taking into account not only the short-run costs of the policy, but also the long-run costs associated with the outstanding level of debt. We characterize the optimal policy and the dynamics of the debt-to-GDP ratio, showing that it will decrease over time if economic policy is effective enough. We characterize how the evolution of the debt-to-GDP ratio depends on the main parameters and we present a simple calibration based on Greek data to illustrate the implications of our analysis in real-world setups.

Suggested Citation

  • la Torre, Davide & Marsiglio, Simone, 2020. "A Note On Optimal Debt Reduction Policies," Macroeconomic Dynamics, Cambridge University Press, vol. 24(7), pages 1850-1860, October.
  • Handle: RePEc:cup:macdyn:v:24:y:2020:i:7:p:1850-1860_9
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    Citations

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    Cited by:

    1. Herb Kunze & Davide La Torre & Simone Marsiglio, 2019. "A Multicriteria Macroeconomic Model with Intertemporal Equity and Spatial Spillovers," Papers 1911.08247, arXiv.org.
    2. Barucci, Emilio & Brachetta, Matteo & Marazzina, Daniele, 2023. "On the feasibility of a debt redemption fund," Economic Modelling, Elsevier, vol. 119(C).
    3. Simone Marsiglio & Nahid Masoudi, 2022. "Reclamation of a resource extraction site: A differential game approach," Metroeconomica, Wiley Blackwell, vol. 73(3), pages 770-802, July.
    4. Miklós Losoncz & Csaba G. Tóth, 2020. "Government Debt Reduction in the Old EU Member States: Is This Time Different?," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 19(2), pages 28-54.
    5. Theofanis Petropoulos & Yannis Thalassinos & Konstantinos Liapis, 2024. "Greek Public Sector’s Efficient Resource Allocation: Key Findings and Policy Management," JRFM, MDPI, vol. 17(2), pages 1-32, February.

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