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dc.contributor.advisorKótze, D.
dc.contributor.authorWesso, Gilbert R.
dc.date.accessioned2021-02-26T10:52:53Z
dc.date.available2021-02-26T10:52:53Z
dc.date.issued1994
dc.identifier.urihttp://hdl.handle.net/11394/7907
dc.descriptionPhilosophiae Doctor - PhDen_US
dc.description.abstractOne of the assumptions of conventional regression analysis is I that the parameters are constant over all observations. It has often been suggested that this may not be a valid assumption to make, particularly if the econometric model is to be used for economic forecasting0 Apart from this it is also found that econometric models, in particular, are used to investigate the underlying interrelationships of the system under consideration in order to understand and to explain relevant phenomena in structural analysis. The pre-requisite of such use of econometrics is that the regression parameters of the model is assumed to be constant over time or across different crosssectional units.en_US
dc.language.isoenen_US
dc.publisherUniversity of the Western Capeen_US
dc.subjectEconometric modelen_US
dc.subjectRegression vectoren_US
dc.subjectModel parametersen_US
dc.subjectLinear regressionen_US
dc.subjectCoefficients appearsen_US
dc.titleThe econometrics of structural change: statistical analysis and forecasting in the context of the South African economyen_US
dc.rights.holderUniversity of the Western Capeen_US


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