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Determinants Of Debt Rescheduling In Eastern European Countries

Author

Listed:
  • Jelena Laušev
  • Aleksandar Stojanović
  • Nataša Todorović

Abstract

This study utilizes Panel Logit Models applied to a set of macroeconomic, financial, and political variables to estimate the debt rescheduling probabilities of 15 Eastern European countries during the transition period from 1990-2005. These transition economies became a very attractive region for foreign investment. Specifically, the region became the largest recipient of net non-FDI flows among all emerging market regions in 2005. Therefore, it is relevant for policy makers and institutional and private foreign investors to investigate factors that influence debt rescheduling probabilities, as these may directly affect the size of and return on investments in these countries. Our findings suggest that policy efforts focused on reducing government expenditure, attracting foreign direct investment, increasing export revenues, and keeping a good repayment record result in low debt rescheduling probabilities and, in turn, decrease the cost of debt for these countries. This is a common finding for all countries in the sample, including those that have become EU members.

Suggested Citation

  • Jelena Laušev & Aleksandar Stojanović & Nataša Todorović, 2011. "Determinants Of Debt Rescheduling In Eastern European Countries," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 56(188), pages 7-31, January –.
  • Handle: RePEc:beo:journl:v:56:y:2011:i:188:p:7-31
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    Cited by:

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    2. Olusegun Ayodele Akanbi, 2016. "External debt accumulation in sub-Saharan African countries: how fast is safe?," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 8(2), pages 93-110.
    3. Kehinde Damilola Ilesanmi & Devi Datt Tewari, 2021. "An Early Warning Signal (EWS) Model for Predicting Financial Crisis in Emerging African Economies," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 12(1), pages 101-110, January.
    4. Lanbiao Liu & Chen Chen & Bo Wang, 2022. "Predicting financial crises with machine learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 871-910, August.
    5. Zeaiter, Hussein Zeaiter, 2013. "Sovereign Debt Defaults: Evidence using Extreme bounds Analysis," Working Papers 32/2013, Universidade Portucalense, Centro de Investigação em Gestão e Economia (CIGE).
    6. Paulo R. Mota & Abel L. Costa Fernandes & Ana-Cristina Nicolescu, 2012. "The Recent Dynamics of Public Debt in the European Union: A Matter of Fundamentals or the Result of a Failed Monetary Experiment?," FEP Working Papers 467, Universidade do Porto, Faculdade de Economia do Porto.

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    More about this item

    Keywords

    Country debt; rescheduling; Eastern Europe; transition; panel logit model;
    All these keywords.

    JEL classification:

    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions
    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems

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