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THE JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.70,  # 2, 2013,  pp. 32-66



                     6. The Integrated Macro-Fiscal Forecasting Model’s Programming Components and

               Applied Solutions
                     In this section, the solution of the integrated version of the macro-fiscal forecasting model is

               presented.  After running and solving the model in its entirety, with the “base-case’ scenario settings,
               and for all types of equations, the results would be presented for all the equations’ solutions in the form

               of coefficients and policy variables and parameters. However, the detailed econometric estimations of
               the  equations,  with  their  statistical  characteristics  and  various  significance  measures,  are  obtained

               applying  E-Views  Statistical  Package,  using  the  collected,  cleaned,  normalized  and  processed

               Bangladesh  historical  data  for  the  period  1990-2011.  Besides,  and  for  carrying  out  applications  of
               alternative  development  scenarios,  and  deriving  alternative  solutions,  reflecting  the  implications  of

               alternative  policy  selections,  the  model,  and  for  this  aspects,  has  been  solved  using  “V-Basic”

               programming,  in  order  to  support  the,  aimed  at  and  achieved,  interactive  and  alternative  policy
               scenarios solutions of the model.

                      System’s outline; the Model is subdivided into four components.  Those components are:
                       The Coefficients and their values

                        The Parameters and Policy Variables

                       The Model’s Variables Definition

                       Tabulation of the Results
                     A brief description of each of these components has shown below.

                     6.1 The Coefficients and their Estimated Values:
                     This module deals with the Coefficient definition and the value. There are 52 Coefficient

               and  their  values  have  already  obtained  through  solving  the  model’s  equation  using  E-Views
               statistical package. The values of these coefficients cannot be changed manually. Hence, these

               coefficients values only changing when a new set of data became available and new estimations

               have to be worked out and fed into the integration version of the model, as specified here.
                     Table  -5-  shows  the  econometrically  estimated  values  of  the,  already,  defined  model’s

               coefficients:









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