The paper is devoted to propose a public debt risk assessment model, which allows predicting country's economic well-being trends. The proposed model evaluates different aspects of public debt-related structural indicators. Research Design & Methods: Introduced debt risk assessment model uses MULTIMOORA multi-objective evaluation method. Study is based on the 2005-2010 European Union macroeconomic structural indicators. Findings: The data analysis indicates EU's ability to cope with the increasing level of public debt and predict long term fiscal consequences. Implications & Recommendations: Evaluation of research results enables to use multi-objective evaluation method to determine the risk of public debt. Contribution & Value Added: A ranking index which shows early warning signs of fiscal indebtedness problems for European Union countries is introduced in the paper. Periodical use of proposed model would help to predict incoming recessions and to implement specific fiscal policies in time to prevent them.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.