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dc.contributor.authorFourie, Erika
dc.contributor.authorVerster, Tanja
dc.contributor.authorVan Vuuren, Gary Wayne
dc.date.accessioned2017-05-15T08:23:05Z
dc.date.available2017-05-15T08:23:05Z
dc.date.issued2016
dc.identifier.citationFourie, E. et al. 2016. A proposed quantitative credit-rating methodology for South African provincial departments. South African journal of economic and management sciences (SAJEMS), 19(2):192-214. [http://dx.doi.org/10.4102/sajems.v19i2.1260]
dc.identifier.issn2222-3436 (Online)
dc.identifier.issn1015-8812
dc.identifier.urihttp://hdl.handle.net/10394/23361
dc.identifier.urihttp://dx.doi.org/10.4102/sajems.v19i2.1260
dc.identifier.urihttp://www.sajems.org/index.php/sajems/article/view/1260
dc.description.abstractThe development of subnational credit-rating methodologies affords benefits for subnationals, the sovereign and its citizens. Trusted credit ratings facilitate access to financial markets and above-average ratings allow for the negotiation of better collateral and guarantee agreements, as well as for funding of, for example, infrastructure projects at superior (lower) interest rates. This paper develops the quantitative section of a credit-rating methodology for South African subnationals. The unique characteristics of South African data, their assembly, and the selection of dependent and independent variables for the linear-regression model chosen, are discussed. The methodology is then applied to the provincial Department of Health using linear regression modelling
dc.language.isoen
dc.publisherAOSIS
dc.subjectSubnational governments
dc.subjectCredit ratings
dc.subjectLinear regression
dc.subjectDepartment of Health
dc.subjectPayment behaviour
dc.titleA proposed quantitative credit-rating methodology for South African provincial departments
dc.typeArticle
dc.contributor.researchID12244627 - Fourie, Erika
dc.contributor.researchID10943587 - Verster, Tanja
dc.contributor.researchID12001333 - Van Vuuren, Gary Wayne


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