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Determinants of Current Account in Cases of Serbia and Romania: Time-Varying Parameters Approach

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  • Bošnjak Mile

    (PhD, Assistant Professor, University of Zagreb, Faculty of Economics and Business)

Abstract

Following competing theories, the paper brings the determinants of the Serbian and Romanian current account dynamics with policy implications. The research sample consists of quarterly time series data over the period 2004q1–2017q2 and 2007q1-2017q4 for the cases of Serbian and the Romanian case, respectively. The estimates from the state space model with time-varying parameters (TVP) approach suggest that role of domestic demand is significant in both cases even though more prominent in case of Serbia. Marshall-Lerner conditions were fulfilled in case of Serbia while not in the Romanian case. The effects of money supply on the current account is found to be in line with the monetary approach in case of Romania while in the Serbian case the effect of an increase in the money supply is positive. Consequently, to resolve the issue of the current account deficit the research findings suggest the country-specific policy mix for each country.

Suggested Citation

  • Bošnjak Mile, 2019. "Determinants of Current Account in Cases of Serbia and Romania: Time-Varying Parameters Approach," South East European Journal of Economics and Business, Sciendo, vol. 14(1), pages 21-33, June.
    • Handle: RePEc:vrs:seejeb:v:14:y:2019:i:1:p:21-33:n:4
    DOI: 10.2478/jeb-2019-0004
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    References listed on IDEAS

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    1. Srđan Boljanović, 2012. "A Sustainability Analysis Of Serbia’S Current Account Deficit," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 57(195), pages 139-172, October -.
    2. Teuta ISMAILI-MUHARREMI, 2015. "Factors Affecting Current Account in the Balance of Payments of Selected Western Balkan Countries," The Journal of Accounting and Management, Danubius University of Galati, issue 3, pages 61-68, December.
    3. Harvey,Andrew C., 1991. "Forecasting, Structural Time Series Models and the Kalman Filter," Cambridge Books, Cambridge University Press, number 9780521405737, September.
    4. International Monetary Fund, 2010. "The Credit Boom in the EU New Member States: Bad Luck or Bad Policies?," IMF Working Papers 2010/130, International Monetary Fund.
    5. Unger, Robert, 2017. "Asymmetric credit growth and current account imbalances in the euro area," Journal of International Money and Finance, Elsevier, vol. 73(PB), pages 435-451.
    6. Mile Bošnjak & Ivan Novak & Ante Krišto, 2018. "Monetary and absorption approach to explain the Croatian current account," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(2), pages 929-946.
    7. Anne-Gaël Vaubourg, 2016. "Finance and International Trade: A Review of the Literature," Revue d'économie politique, Dalloz, vol. 126(1), pages 57-87.
    8. Alka Obadić & Tomislav Globan & Ozana Nadoveza, 2014. "Contradicting the Twin Deficits Hypothesis: The Role of Tax Revenues Composition," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(6), pages 653-667, December.
    9. M. Fatih Ekinci & F. Pinar Erdem & Zubeyir Kilinc, 2015. "Credit growth, current account and financial depth," Applied Economics, Taylor & Francis Journals, vol. 47(17), pages 1809-1821, April.
    10. Xiaobing Huang & Xiaolian Liu, 2017. "How do firms finance their exports? – evidence from China," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 26(2), pages 154-173, February.
    11. J. J. Polak, 1957. "Monetary Analysis of Income Formation and Payments Problems," IMF Staff Papers, Palgrave Macmillan, vol. 6(1), pages 1-50, November.
    12. Long Zhao & Zuanshi Liu & William Wei & Bernadette Andreosso-O’Callaghan, 2017. "FDI outflows, exports and financial development," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 44(6), pages 987-1002, November.
    13. Juann H. Hung & Edward N. Gamber, 2010. "An Absorption Approach to Modeling the US Current Account," Review of International Economics, Wiley Blackwell, vol. 18(2), pages 334-350, May.
    14. Salvador Gil-Pareja & Rafael Llorca-Vivero & José Antonio Martínez-Serrano, 2017. "Does the Degree of Development Matter in the Impact of Banking Crises on International Trade?," Review of Development Economics, Wiley Blackwell, vol. 21(3), pages 829-848, August.
    15. Zaman, Gheorghe & Georgescu, George, 2014. "Romania’s external debt threats," Working Papers of Institute for Economic Forecasting 141215, Institute for Economic Forecasting.
    16. Bošnjak Mile & Kordić Gordana & Bilas Vlatka, 2018. "Determinants Of Financial Euroisation In A Small Open Economy: The Case Of Serbia," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 63(218), pages 9-22, July – Se.
    17. Luis Sastre, 2018. "Marshall-Lerner Condition and the Balance of Payments Constrained Growth: The Spanish Case," Review of Economics & Finance, Better Advances Press, Canada, vol. 13, pages 29-38, August.
    18. Constantin ANGHELACHE & Gabriela Victoria ANGHELACHE & Mirela PANAIT & Ihab Jweida SJ JWEIDA, 2016. "The Analysis of International Trade of Romania," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(12), pages 93-99, December.
    19. Kauko, Karlo, 2014. "How to foresee banking crises? A survey of the empirical literature," Economic Systems, Elsevier, vol. 38(3), pages 289-308.
    20. Bilas Vlatka & Bosnjak Mile & Novak Ivan, 2017. "Examining the Relationship between Financial Development and International Trade in Croatia," South East European Journal of Economics and Business, Sciendo, vol. 12(1), pages 80-88, April.
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    Cited by:

    1. Mile Bošnjak & Vlatka Bilas & Domagoj Raèiæ, 2019. "Time-varying parameters of Croatian import demand," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 37(2), pages 853-872.

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    More about this item

    Keywords

    Serbia; Romania; current account; time-varying parameters;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • F1 - International Economics - - Trade
    • F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance

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