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THE JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.74, # 2, 2017, pp. 51 - 63



                                             Table 6: Results of Hausman Test

                     Test summary                         Chi-Sq. Statistic   Chi-Sq. d.f.     Prob.
                     Cross-section random                     1.052435             2          0.3462
                     Period random                            2.172326             2          0.3905
                     Cross-section and period random          2.138541             2          0.3526

                   4.4. Results of Panel Regression


               The  different  algorithms  were  tried  for  the  analysis  and  therefore  the  estimation  was
               implemented  with  the  cross  section  SUR  algorithm  which  yields  the  minimum  sum  of  the
               squared errors and the estimation results were presented in Table 7. The results discovered that
               control of corruption (COC), government effectiveness (GE), regulatory quality (RQ), and rule
               of  law  (ROL)  affected  the  total  tax  revenues  positively.  On  the  other  side,  the  coefficients
               showed that ROL and RQ variables had the largest impact on the total tax revenues, while GE
               variable  had  the  lowest  impact  on  the  total  tax  revenues.  Corruption  and  public  governance
               indicators explained 60% of the changes in the total tax revenues.


                                            Table 7: Results of Panel Regression


                          Dependent Variable: DTAXREV
                          Variable          Coefficient  Std. Error     t-Statistic      Prob.
                          DCOC               0,213051     0,052191      4,082103         0,0001
                          DGE                0,159481     0,055346      2,881530         0,0041
                          DRQ                0,289948     0,058951      4,918448         0,0000
                          DROL               0,298495     0,045888      6,504888         0,0000
                          C                  0,006817     0,003756      1,815072         0,0301
                                                     Effects Specification
                                                                          S.D.            Rho
                          Cross-section random                          0,120757         0,5076
                          Period random                                 0,025219         0,0221
                          Idiosyncratic random                          0,116238         0,4703
                                                     Weighted Statistics
                          R-squared            0,607794      Mean dependent var         0,316909
                          Adjusted R-squared   0,604560      S.D. dependent var         0,188718
                          S.E. of regression   0,118674      Sum squared resid          6,830474
                          F-statistic          87,78990      Durbin-Watson stat         2,174233
                          Prob (F statistics)   0,000000
                                                              Unweighted Statistics
                          R-squared            0,900976      Mean dependent var         1,335429
                          Sum squared resid    14,85161      Durbin-Watson stat         0,484734


               Public administration is the dominant actor which designs and controls the environment which
               households and firms live. Therefore, well-functioning of the public sector and the well-designed



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