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THE JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.76, # 2, 2019, pp. 31-45



                      Tab. 1: Statistical features of      parametres of econometric assessment
                                                        

                            Dependent Variable: REAL_SAVING
                            Method: Least Squares
                            Date: 05/02/17   Time: 02:47
                            Sample (adjusted): 2000 2013
                            Included observations: 13 after adjustments
                            Convergence achieved after 18 iterations
                            MA Backcast: 2000
                            Variable            Coefficient   Std. Error   t-Statistic   Prob.
                            REAL_GDP            0.205133   0.049011    4.185458    0.0019
                            AR (1)              0.754837   0.210021    3.594099    0.0049
                            MA (1)              0.888579   0.158206    5.616610    0.0002
                            R-squared           0.696393       Mean dependent var   3104.692
                            Adjusted R-squared   0.635672       S.D. dependent var   787.7870
                            S.E. of regression   475.5051       Akaike info criterion   15.36581
                            Sum squared resid   2261051.       Schwarz criterion   15.49618
                            Log-likelihood      -96.87774       Hannan-Quinn criteria.    15.33901
                            Durbin-Watson stat   1.471227
                            Inverted AR Roots         .75
                            Inverted MA Roots        -.89

                    REAL_SAVING = 0.205133092015 * REAL_GDP + [AR (1) =0.754837146075,
                    MA(1)= 0.888578691287,BACKCAST=2001,ESTSMPL="2001 2013"]          (8)

                    Where REAL_SAVINGS is the real volume of savings and REAL_GDP is the real
                    volume  of  GDP  (year-end  figures  in  billions  of  local  currency).  The  numbers  in
                    brackets  below  the  model's  parameters  are  the  t-statistics  of  the  corresponding
                    parameters.  As  indicated  in  Model  (8)  savings  norm  is  equal  to

                                         .

                    As  seen  in  Appendix  1,  t-statistics  has  statistical  significance.  Standard  errors  of
                    parameters  are  significantly  lower  than  the  values  of  parameters  found  by  least
                    squares  method  (excluding  the  constant  coefficient).  It  is  seen  more  clearly  in
                    Student’s  t-statistics  and  corresponding  p-values  (Appendix  1).  This  fact  is  also
                    indicative of the change in the value of the coefficient of marginal propensity to save.

                    Assessments and tests made for the model (8) are enough to consider this model to
                    be adequate. These tests are given in appendix 1.

                      Let’s now assess the marginal productivity of capital based on real data:

                                      ∆        _       =    ∗         _                               (9)
                                                    
                                                                          

                    Where  ∆        _           is  the  change  in  GDP  at  time  t,            _                 is  the
                    investment at time t and  is marginal productivity of capital. Following regression

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