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A Complementary Tool to Monitor Fiscal Stress in European Economies

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  • Stéphanie Pamies Sumner
  • Katia Berti

Abstract

This paper presents an indicator of fiscal distress for European economies based on a multivariate regression analysis (logit modelling, the L1 indicator) and on a recently updated dataset of fiscal stress episodes. This indicator presents some interesting features: relying on a parsimonious set of variables that have been tested for their conditional statistical significance, it exhibits an overall satisfactory insample performance. In line with Berti et al. (2012), this indicator confirms the importance of monitoring macro-financial variables to assess countries' vulnerabilities to fiscal distress. It also provides some evidence that the change in the public debt ratio is an important predictor of fiscal distress events, while the level of public debt would particularly matter when combined with macrocompetitiveness imbalances. Our analysis suggests that the L1 indicator could be used as a complementary tool to the Commission S0 indicator to monitor prospective fiscal risks, building on the respective strengths of the two approaches, while compensating for their limitations.

Suggested Citation

  • Stéphanie Pamies Sumner & Katia Berti, 2017. "A Complementary Tool to Monitor Fiscal Stress in European Economies," European Economy - Discussion Papers 049, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    • Handle: RePEc:euf:dispap:049
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    References listed on IDEAS

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    Cited by:

    1. Valencia, Oscar & Parra, Diego A. & Díaz, Juan Camilo, 2022. "Assessing Macro-Fiscal Risk for Latin American and Caribbean Countries," IDB Publications (Working Papers) 12482, Inter-American Development Bank.
    2. Barbara Annicchiarico & Fabio Di Dio & Stefano Patrì, 2023. "Optimal correction of the public debt and measures of fiscal soundness," Metroeconomica, Wiley Blackwell, vol. 74(1), pages 138-162, February.
    3. Martin Bruns & Tigran Poghosyan, 2018. "Leading indicators of fiscal distress: evidence from extreme bounds analysis," Applied Economics, Taylor & Francis Journals, vol. 50(13), pages 1454-1478, March.
    4. Moreno Badia, Marialuz & Medas, Paulo & Gupta, Pranav & Xiang, Yuan, 2022. "Debt is not free," Journal of International Money and Finance, Elsevier, vol. 127(C).
    5. Lanbiao Liu & Chen Chen & Bo Wang, 2022. "Predicting financial crises with machine learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 871-910, August.

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    More about this item

    JEL classification:

    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes
    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems
    • H62 - Public Economics - - National Budget, Deficit, and Debt - - - Deficit; Surplus
    • H63 - Public Economics - - National Budget, Deficit, and Debt - - - Debt; Debt Management; Sovereign Debt

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