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Analyzing macroeconomic imbalances in the EU

Author

Listed:
  • Tomáš Domonkos
  • Filip Ostrihoň
  • Ivana Šikulová
  • Maria Širaňová

Abstract

This research aims to evaluate the efficiency of the currently applied MIP Scoreboard’s indicators. The question we want to answer is that: If this procedure had been applied before the crisis, would it have been able to effectively and on time identify potential macroeconomic imbalances in the EU countries? In order to answer this question, we examine the behavior of the MIP Scoreboard’s indicators in terms of the business cycle. The analysis relies mostly on binary response models and on signaling approach. The data used cover the time period from 2004 till 2014. The results of this study aim to improve the MIP procedure and identify useful amendments to the set of indicators used in the crisis-identification procedure. This would result in better and more target-oriented policies and help avoid adverse macroeconomic development across European countries.

Suggested Citation

  • Tomáš Domonkos & Filip Ostrihoň & Ivana Šikulová & Maria Širaňová, 2016. "Analyzing macroeconomic imbalances in the EU," EcoMod2016 9660, EcoMod.
    • Handle: RePEc:ekd:009007:9660
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    References listed on IDEAS

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    1. Graciela Kaminsky & Saul Lizondo & Carmen M. Reinhart, 1998. "Leading Indicators of Currency Crises," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 1-48, March.
    2. Checherita-Westphal, Cristina & Rother, Philipp, 2010. "The impact of high and growing government debt on economic growth: an empirical investigation for the euro area," Working Paper Series 1237, European Central Bank.
    3. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    4. El-Shagi, M. & Knedlik, T. & von Schweinitz, G., 2013. "Predicting financial crises: The (statistical) significance of the signals approach," Journal of International Money and Finance, Elsevier, vol. 35(C), pages 76-103.
    5. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    6. Bertrand Candelon & Elena-Ivona Dumitrescu & Christophe Hurlin, 2012. "How to Evaluate an Early-Warning System: Toward a Unified Statistical Framework for Assessing Financial Crises Forecasting Methods," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 60(1), pages 75-113, April.
    7. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    8. Christensen, Ian & Li, Fuchun, 2014. "Predicting financial stress events: A signal extraction approach," Journal of Financial Stability, Elsevier, vol. 14(C), pages 54-65.
    9. De Grauwe, Paul, 2012. "In Search of Symmetry in the Eurozone," CEPS Papers 6901, Centre for European Policy Studies.
    10. Canova, Fabio, 1994. "Were Financial Crises Predictable?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 26(1), pages 102-124, February.
    11. A. Colin Cameron & Pravin K. Trivedi, 2010. "Microeconometrics Using Stata, Revised Edition," Stata Press books, StataCorp LLC, number musr, December.
    12. Barrell, Ray & Davis, E. Philip & Karim, Dilruba & Liadze, Iana, 2010. "Bank regulation, property prices and early warning systems for banking crises in OECD countries," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2255-2264, September.
    13. Borgy, Vladimir & Clerc, Laurent & Renne, Jean-Paul, 2014. "Measuring aggregate risk: Can we robustly identify asset-price boom–bust cycles?," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 132-150.
    14. Manuela Moschella, 2014. "Monitoring Macroeconomic Imbalances: Is EU Surveillance More Effective than IMF Surveillance?," Journal of Common Market Studies, Wiley Blackwell, vol. 52(6), pages 1273-1289, November.
    15. Alcidi, Cinzia & Gros, Daniel, 2014. "Implications of EU Governance Reforms: Rationale and Practical Application," ETLA Reports 25, The Research Institute of the Finnish Economy.
    16. repec:ptu:bdpart:b201404 is not listed on IDEAS
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    Cited by:

    1. Maria Siranova & Marek Radvanský, 2018. "Performance of the Macroeconomic Imbalance Procedure in light of historical experience in the CEE region," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 21(4), pages 335-352, October.

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    Keywords

    EU; Macroeconometric modeling; Impact and scenario analysis;
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