IDEAS home Printed from https://ideas.repec.org/p/ekd/009007/9660.html

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
    as

    Download full text from publisher

    File URL: http://ecomod.net/system/files/Domonkas.Paper_final.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Christensen, Ian & Li, Fuchun, 2014. "Predicting financial stress events: A signal extraction approach," Journal of Financial Stability, Elsevier, vol. 14(C), pages 54-65.
    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. De Grauwe, Paul, 2012. "In Search of Symmetry in the Eurozone," CEPS Papers 6901, Centre for European Policy Studies.
    5. Canova, Fabio, 1994. "Were Financial Crises Predictable?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 26(1), pages 102-124, February.
    6. A. Colin Cameron & Pravin K. Trivedi, 2010. "Microeconometrics Using Stata, Revised Edition," Stata Press books, StataCorp LLC, number musr, March.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Alcidi, Cinzia & Gros, Daniel, 2014. "Implications of EU Governance Reforms: Rationale and Practical Application," ETLA Reports 25, The Research Institute of the Finnish Economy.
    12. repec:ptu:bdpart:b201404 is not listed on IDEAS
    13. 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.
    14. Candelon, B. & Dumitrescu, E-I. & Hurlin, C., 2010. "How to evaluate an early warning system? Towards a united statistical framework for assessing financial crises forecasting methods," Research Memorandum 046, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    15. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tomáš, Domonkos & Filip, Ostrihoň & Ivana, Šikulová & Mária, Širaňová, 2017. "Analysing the Relevance of the MIP Scoreboard's Indicators," National Institute Economic Review, National Institute of Economic and Social Research, vol. 239, pages 32-52, February.
    2. 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.
    3. Mahir Binici & Aytül Ganioglu, 2021. "Net external position, financial development, and banking crisis," Empirical Economics, Springer, vol. 61(3), pages 1225-1251, September.
    4. Zhi-Qiang Jiang & Gang-Jin Wang & Askery Canabarro & Boris Podobnik & Chi Xie & H. Eugene Stanley & Wei-Xing Zhou, 2018. "Short term prediction of extreme returns based on the recurrence interval analysis," Quantitative Finance, Taylor & Francis Journals, vol. 18(3), pages 353-370, March.
    5. Dany-Knedlik, Geraldine & Kämpfe, Martina & Knedlik, Tobias, 2021. "The appropriateness of the macroeconomic imbalance procedure for Central and Eastern European Countries," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 48(1), pages 123-139.
    6. Markus Holopainen & Peter Sarlin, 2015. "Toward robust early-warning models: A horse race, ensembles and model uncertainty," Papers 1501.04682, arXiv.org, revised Apr 2016.
    7. Matkovskyy, Roman, 2013. "To the Problem of Financial Safety Estimation: the Index of Financial Safety of Turkey," MPRA Paper 47673, University Library of Munich, Germany.
    8. Roy, Saktinil & Kemme, David M., 2012. "Causes of banking crises: Deregulation, credit booms and asset bubbles, then and now," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 270-294.
    9. Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2020. "Forecasting financial stress indices in Korea: a factor model approach," Empirical Economics, Springer, vol. 59(6), pages 2859-2898, December.
    10. Thanh C. Nguyen & Vítor Castro & Justine Wood, 2022. "Political environment and financial crises," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 417-438, January.
    11. Honda, Jiro & Tapsoba, René & Issifou, Ismael, 2022. "When do we repair the roof? Insights from responses to fiscal crisis early warning signals," International Economics, Elsevier, vol. 172(C), pages 349-367.
    12. Bespalova, Olga, 2018. "Forecast Evaluation in Macroeconomics and International Finance. Ph.D. thesis, George Washington University, Washington, DC, USA," MPRA Paper 117706, University Library of Munich, Germany.
    13. Mohammad Karimi & Marcel‐Cristian Voia, 2019. "Empirics of currency crises: A duration analysis approach," Review of Financial Economics, John Wiley & Sons, vol. 37(3), pages 428-449, July.
    14. Barbara Jarmulska, 2022. "Random forest versus logit models: Which offers better early warning of fiscal stress?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 455-490, April.
    15. Kim, Hyeongwoo & Ko, Kyunghwan, 2020. "Improving forecast accuracy of financial vulnerability: PLS factor model approach," Economic Modelling, Elsevier, vol. 88(C), pages 341-355.
    16. Kaehler, Juergen & Weber, Christoph S., 2023. "Inflation in the aftermath of financial crises," Economic Modelling, Elsevier, vol. 128(C).
    17. Tihana Skrinjaric, 2023. "Leading indicators of financial stress in Croatia: a regime switching approach," Public Sector Economics, Institute of Public Finance, vol. 47(2), pages 205-232.
    18. Correia, Ricardo & Dubiel-Teleszynski, Tomasz & Población, Javier, 2019. "Anticipating individual bank rescues," Economic Modelling, Elsevier, vol. 82(C), pages 345-360.
    19. K. Batu Tunay, 2010. "Banking Crises and Early Warning Systems: A Model Suggestion for Turkish Banking Sector," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 4(1), pages 9-46.
    20. Hyeongwoo Kim & Wen Shi, 2021. "Forecasting financial vulnerability in the USA: A factor model approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 439-457, April.

    More about this item

    Keywords

    ;
    ;
    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ekd:009007:9660. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Theresa Leary (email available below). General contact details of provider: https://edirc.repec.org/data/ecomoea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.