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dc.contributor.authorPhiri, Andrew
dc.date.accessioned2017-05-15T10:25:07Z
dc.date.available2017-05-15T10:25:07Z
dc.date.issued2016
dc.identifier.citationPhiri, A.C. 2016. Examining asymmetric effects in the South African Phillips curve: evidence from logistic smooth transition regression models. International Journal of Sustainable Economy, 8(1):18-42. [https://doi.org/10.1504/IJSE.2016.073683]
dc.identifier.issn1756-5804
dc.identifier.urihttps://doi.org/10.1504/IJSE.2016.073683
dc.identifier.urihttp://hdl.handle.net/10394/23838
dc.description.abstractThis study contributes to the foregoing literature by investigating asymmetric behaviour within the South African short-run Phillips curve for three versions of the Phillips curve specification namely; the New Classical Phillips curve, the new Keynesian Phillips curve and the hybrid new Keynesian Phillips curve. To this end, we employ a logistic smooth transition regression (LSTR) econometric model to each of the aforementioned versions of the Phillips curve specifications for quarterly data spanning from 1970:01 to 2014:01 and thus endeavour into determining which version of the Phillips curve best suites the employed data. Our empirical results indicate that both the marginal-cost-based as well as the output gap-based versions of the hybrid new Keynesian Philips curve provide a good fit for South African data. Therefore, our empirical results indicate that monetary policy in South Africa has an influence on the demand side of the economy through inflation inertia and inflation expectations whilst appearing to exhibit no significant effects on the supply side of the economy.
dc.language.isoen
dc.publisherInderscience
dc.subjectPhillips curve
dc.subjectsmooth transition regression
dc.subjectmonetary policy
dc.subjectSouth Africa
dc.subjectasymmetric effects
dc.subjectregression models
dc.subjecteconometrics
dc.subjectinflation inertia
dc.subjectinflation expectations
dc.titleExamining asymmetric effects in the South African Phillips curve: evidence from logistic smooth transition regression models
dc.typeArticle
dc.contributor.researchID16818458 - Phiri, Andrew Chacomanda


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