A Study of Country-Risk for Non-Developed Countries in 1980-2000
This article aims at discovering a coherent method for estimating country risk for non-developed countries, determining the components and most significant factors involved and thus avoiding the “black boxes” represented by external agency ratings. The data used form a panel of 40 non-developed countries, grouped into 5 geographical areas, during the 1985-2000 period (World Bank database, 2002). A credit rating is allocated to the countries concerned based on criteria similar to those applied to business solvency, and we then attempt to explain this rating by other macroeconomic factors obtained from the same database. The model employed to determine the probabilities corresponding to each individual at each moment in time and according to the allocated rating, is an ordered probit on panel data. The results obtained indicate that there is a high degree of time correlation in country credit ratings and, furthermore, that the probability of their insolvency is also influenced by random effects of heterogeneity.
Volume (Year): 5 (2005)
Issue (Month): 1 ()
|Contact details of provider:|| Web page: http://www.usc.es/economet/eaa.htm|
|Order Information:|| Web: http://www.usc.es/economet/info.htm Email: |
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Joachim Inkmann, 1999.
"Misspecified heteroskedasticity in the panel probit model: A small sample comparison of GMM and SML estimators,"
- Inkmann, Joachim, 2000. "Misspecified heteroskedasticity in the panel probit model: A small sample comparison of GMM and SML estimators," Journal of Econometrics, Elsevier, vol. 97(2), pages 227-259, August.
- Joachim Inkmann, 1999. "Misspecified heteroskedasticity in the panel probit model: A small sample comparison of GMM and SML estimators," CoFE Discussion Paper 99-04, Center of Finance and Econometrics, University of Konstanz.
- Andrew Berg & Rebecca N. Coke, 2004. "Autocorrelation-Corrected Standard Errors in Panel Probits; An Application to Currency Crisis Prediction," IMF Working Papers 04/39, International Monetary Fund.
- Geweke, John & Keane, Michael P & Runkle, David, 1994.
"Alternative Computational Approaches to Inference in the Multinomial Probit Model,"
The Review of Economics and Statistics,
MIT Press, vol. 76(4), pages 609-632, November.
- John F. Geweke & Michael P. Keane & David E. Runkle, 1994. "Alternative computational approaches to inference in the multinomial probit model," Staff Report 170, Federal Reserve Bank of Minneapolis.
When requesting a correction, please mention this item's handle: RePEc:eaa:aeinde:v:1:y:2005:i:1_4. 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: (M. Carmen Guisan)
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 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.