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dc.contributor.authorWimalasena, Rankadu Pattalage.en_US
dc.date.accessioned2014-10-21T12:36:57Z
dc.date.available2014-10-21T12:36:57Z
dc.date.issued1993en_US
dc.identifier.otherAAINN87506en_US
dc.identifier.urihttp://hdl.handle.net/10222/55370
dc.descriptionA short-run macroeconometric model of the Sri Lankan economy which has forty-three behavioural equations and seventeen identities is formulated and estimated in this study. In view of the undersized sample problem, ordinary least squares (OLS) is used to estimate behavioural equations in the model. The estimated structure is judged by the usual criteria of goodness of fit, the expected signs and sizes of estimated coefficients, and their statistical significance.en_US
dc.descriptionSince the model is non-linear consisting of nineteen non-linear equations, a modified version of the Newton-Raphson algorithm by Powell is used to solve the model. Both the static and dynamic simulation experiments are conducted in order to assess the within-sample (1962-1987) and post-sample (1988-1990) tracking performance of the model. The tracking performance of the model as measured by the root mean squared percent error (RMSPE), the Theil's U-statistic and the mean absolute percent error (MAPE) is good.en_US
dc.descriptionThe results of this study demonstrate that, without testing against empirical data, the appropriateness of primarily demand oriented approaches should not be summarily rejected in modelling the developing countries like Sri Lanka.en_US
dc.descriptionThesis (Ph.D.)--Dalhousie University (Canada), 1993.en_US
dc.languageengen_US
dc.publisherDalhousie Universityen_US
dc.publisheren_US
dc.subjectEconomics, General.en_US
dc.titleA short-run macroeconometric model of Sri Lanka.en_US
dc.typetexten_US
dc.contributor.degreePh.D.en_US
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