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Public finance sustainability in Europe: a behavioral model

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  • Gilles Dufrénot

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Carolina Ulloa Suarez

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper investigates the sustainability of public finances in the European countries since 2002. We provide evidence of heterogenous behaviors among the EU countries and show that, even if they had been forced to focus their fiscal efforts on correcting the deviations of debt from their ceiling -through a correcting mechanism such as the recent TSCG rule-, this would not necessarily have changed the likelihood that debt and deficits become more sustainable. Sources of deviations from stable debt and deficits are related to the macroeconomic environment: the interest-growth differential, momentum dynamics in the sovereign bond markets, how markets react to rising debt.

Suggested Citation

  • Gilles Dufrénot & Carolina Ulloa Suarez, 2019. "Public finance sustainability in Europe: a behavioral model," Working Papers halshs-02356400, HAL.
    • Handle: RePEc:hal:wpaper:halshs-02356400
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-02356400
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    More about this item

    Keywords

    fiscal rules; euro area; quantile regression; stability;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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