IDEAS home Printed from
   My bibliography  Save this article

Why heavily indebted poor countries have failed to pay back their debt? An empirical investigation (in English)


  • Menbere Workie Tiruneh

    () (Institute of Slovak and World Economies, Slovak Academy of Sciences, Bratislava, Slovakia)


This paper, in using cross-section pooled logit, probit, and fixed-effects logit models, empirically explores the main factors affecting the rescheduling of contractual debt-service payments by heavily indebted poor countries (HICPs) in the late 1980s and the 1990s. The results seem to suggest that HIPCs past external debt, per-capita income level, GDP growth rate, trade openness, foreign-currency reserves, and capital inflows are core factors affecting debt servicing.

Suggested Citation

  • Menbere Workie Tiruneh, 2005. "Why heavily indebted poor countries have failed to pay back their debt? An empirical investigation (in English)," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 55(3-4), pages 124-140, March.
  • Handle: RePEc:fau:fauart:v:55:y:2005:i:3-4:p:124-140

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Gary M. Woller & Kerk Phillips, 1996. "Commercial Banks And Ldc Debt Reduction," Contemporary Economic Policy, Western Economic Association International, vol. 14(2), pages 107-123, April.
    2. Berg, Andrew & Sachs, Jeffrey, 1988. "The debt crisis structural explanations of country performance," Journal of Development Economics, Elsevier, vol. 29(3), pages 271-306, November.
    3. Fafchamps, Marcel, 1996. "Sovereign debt, structural adjustment, and conditionality," Journal of Development Economics, Elsevier, vol. 50(2), pages 313-335, August.
    4. Hajivassiliou, Vassilis A., 1987. "The external debt repayments problems of LDC's : An econometric model based on panel data," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 205-230.
    Full references (including those not matched with items on IDEAS)

    More about this item


    debt crisis; debt rescheduling; logit model; fixed effects; heavily indebted poor countries (HIPC);

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models


    Access and download statistics


    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:fau:fauart:v:55:y:2005:i:3-4:p:124-140. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Lenka Herrmannova). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.