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Ordered Response Models for Sovereign Debt Ratings

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Research , Preprint 01 Jan 2006 Portugal English Publisher:Elsevier BVJournal:SSRN Electronic Journal (eissn: 1556-5068, Copyright policy )
Authors: António Afonso; Pedro Gomes; Philipp Rother;

doi: 10.2139/ssrn.943418 , 10.1080/13504850701221931

handle: 10400.5/25627 , 10400.5/2656

Ordered Response Models for Sovereign Debt Ratings

Abstract

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

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Keywords

Random Effects Ordered Probit, Random Effects Ordered Logit, Ordered Probit, Ordered Logit, Sovereign Rating, ems, ordered probit; ordered logit; random effects ordered probit; sovereign rating., jel: jel:G15, jel: jel:E44, jel: jel:F30, jel: jel:C25

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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63
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The European University of Social Sciences