This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Ordered Response Models for Sovereign Debt Ratings

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
António Afonso
Pedro Gomes
Philipp Rother

Additional information is available for the following registered author(s):

Abstract

Using ordered logit and probit plus random effects ordered probit approaches, we study the determinants of sovereign debt ratings. We found that the last procedure is the best for panel data as it takes into account the additional cross-section error.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://pascal.iseg.utl.pt/~depeco/wp/wp342006.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Department of Economics at the School of Economics and Management (ISEG), Technical University of Lisbon. in its series Working Papers with number 2006/34.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length:
Date of creation: 2006
Date of revision:
Handle: RePEc:ise:isegwp:wp342006

Contact details of provider:
Postal: Department of Economics, School of Economics and Management (ISEG), Technical University of Lisbon, Rua do Quelhas 6, 1200-781 LISBON, PORTUGAL
Web page: http://www.iseg.utl.pt/departamentos/economia/

For technical questions regarding this item, or to correct its listing, contact: (Vitor Escaria).

Related research
Keywords: ordered probit ordered logit random effects ordered probit sovereign rating.

Find related papers by JEL classification:
C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models
E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
F30 - International Economics - - International Finance - - - General
G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

This paper has been announced in the following NEP Reports:

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.:
  1. Sophia Rabe-Hesketh & Andrew Pickles & Colin Taylor, 2000. "Generalized linear latent and mixed models," Stata Technical Bulletin, StataCorp LP, vol. 9(53). [Downloadable!]
  2. Bissoondoyal-Bheenick, Emawtee, 2005. "An analysis of the determinants of sovereign ratings," Global Finance Journal, Elsevier, vol. 15(3), pages 251-280, February. [Downloadable!] (restricted)
  3. Hu, Yen-Ting & Kiesel, Rudiger & Perraudin, William, 2002. "The estimation of transition matrices for sovereign credit ratings," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1383-1406, July. [Downloadable!] (restricted)
  4. Vassilis A. Hajivassiliou & Yannis M. Ioannides, 1995. "Unemployment and Liquidity Constraints," Cowles Foundation Discussion Papers 1090, Cowles Foundation, Yale University. [Downloadable!]
    Other versions:
Full references

Statistics
Access and download statistics

Did you know? There are over 16000 authors registered on RePEc Author Service.

This page was last updated on 2008-7-2.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.