Fiscal Rule Stretching in the European Union: The Impact of Elections, Financial Stress, and Excessive Deficit Procedures on Government Debt Revisions
- Authors
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Apeksha Bhuekar
8146502613
Author
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- Keywords:
- Fiscal Rule Stretching, Government Debt Revisions, European Union, Stability and Growth Pact (SGP), Excessive Deficit Procedure (EDP), Financial Market Stress, Fiscal Transparency
- Abstract
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This paper examines the strategic manipulation of government debt data referred to as "fiscal rule stretching'' among European Union member states, particularly in response to electoral incentives, financial market stress, and the constraints of the Stability and Growth Pact (SGP). Using Eurostat revisions of government debt figures, and measuring the dependent variable as the cumulative change in the debt-to-GDP ratio between the initial release and the subsequent releases within a two-release window (ranging from -1.1 to 13.9 percentage points of GDP in the estimation sample), we find that countries with higher debt levels, particularly those exceeding the 60% of GDP SGP threshold, are more likely to have their debt figures revised upwards. Our analysis further reveals that eurozone members are more inclined to engage in rule stretching, especially when facing Excessive Deficit Procedure (EDP) enforcement. Election timing plays a crucial role in this behavior, with unscheduled elections and proximity to elections both significantly increasing the likelihood of debt revisions. Financial market stress amplifies these effects, as governments under pressure may resort to optimistic accounting to present more favorable debt statistics. While fiscal transparency appears to be positively associated with debt revisions, suggesting that transparent governments may rely on more sophisticated methods of rule stretching, GDP growth does not show a significant impact. Overall, our findings highlight the intersection of domestic political cycles, financial constraints, and EU-level oversight in shaping fiscal reporting practices across member states.
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- Published
- 2026-10-31
- Issue
- Vol. 1 No. 6 (2026)
- Section
- Articles
- License
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Copyright (c) 2026 International Journal of Intelligent Systems and Data Science

This work is licensed under a Creative Commons Attribution 4.0 International License.
