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Sovereign uncertainty

Author

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  • Edgar Silgado-Gómez

    (Banco de España)

Abstract

This paper investigates the impact and the transmission of uncertainty regarding the future path of government finances on economic activity. I first employ a data-rich approach to extract a novel proxy that captures uncertainty surrounding public finances, which I refer to as sovereign uncertainty, and demonstrate that the estimated measure exhibits distinct fluctuations from macro-financial and economic policy uncertainty indices. Next, I analyse the behaviour of sovereign uncertainty shocks and detect the presence of significant and long-lasting negative effects in the financial and macroeconomic sectors using state-of-the-art identification strategies, within the context of a Bayesian vector autoregression framework. I show that a shock to sovereign uncertainty differs from a macro-financial uncertainty shock originating from disturbances in the private sector —while the former persistently dampens the economy in the medium run, the latter displays a short-lived response in real activity. Lastly, I study the role of sovereign uncertainty in a New Keynesian dynamic stochastic general equilibrium model augmented with recursive preferences and financial intermediaries. I find that a sovereign uncertainty shock in the model is able to capture the empirical slowdowns in economic aggregates if monetary policy decisions are directly influenced by the shock. The model also emphasizes the importance of financial frictions in transmitting the effects of sovereign uncertainty shocks and highlights the minor role played by nominal rigidities.

Suggested Citation

  • Edgar Silgado-Gómez, 2024. "Sovereign uncertainty," Working Papers 2423, Banco de España.
  • Handle: RePEc:bde:wpaper:2423
    DOI: https://doi.org/10.53479/36875
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    File URL: https://www.bde.es/f/webbe/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosTrabajo/24/Files/dt2423e.pdf
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    More about this item

    Keywords

    sovereign uncertainty index; government finances; economic activity; event-based identification; Bayesian VARs; non-linear DSGE models;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General

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