Page 114 - Azerbaijan State University of Economics
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THE                      JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.81, # 2, 2024, pp. 104-116

                    To choose the ARDL model, the Schwarz Information Criterion (SIC) was utilised.
                    There  was  no  long-term  correlation  between  employment  and  human  capital,
                    according to the particular test. Using the Ordinary Least Squares (OLS) approach,
                    the short-term model was estimated using the SIC selection criteria and the related
                    error corrective term test. The long-, short-, and short Run models' results are shown
                    in Table 6. Government spending on education was substantial in the near term, and
                    its long-term convergence adjustment speed was -0.375173, meaning that short-term
                    to long-term differences would be corrected at a pace of 37.51%.

                    In contrast to government spending on education, the long-term estimate findings
                    showed  that  government  spending  on  health  (HEXP)  and  life  expectancy  at  birth
                    (LEB)  both  had  negative  coefficients.  There  is  a  positive  long-term  association
                    between the total labor force (LPR), inflation rate (INF), and education level (EDU).
                    The long-term effects of China's government spending on education are responsible
                    for this phenomena, since it raises the employment rate in the Chinese labor market
                    by polarizing the competences of university and institute graduates. This, in turn,
                    makes it easier for the macroeconomy to generate additional value through increased
                    productivity, which in turn boosts domestic demand for goods. A strong employment
                    participation rate enables graduates to join the Chinese labor market and contributes
                    to a higher employment rate, although consumption includes a high rate of inflation.
                    As a result, diagnostic testing were run to evaluate the quality of the model. The
                    outcomes of the Breusch-Pagan-Godfrey and Breusch-Godfrey Serial Correlation LM
                    tests are shown in Table 5.
                                               Table.8 Diagnostic Checks

                                        Heteroskedasticity Test:    Breusch –Godfrey Serial Corr.LM
                                        Breusch-Pegan-Godfrey                     Test
                                                      Prob.Value                      Prob.Value
                       F-Statistics   0.408909        0.9038        0.501091       0.6129
                           *
                       Obs R-        3.984609         0.8585        1.457574       0.4825
                       squared


                    Both the short- and long-term variants of the null hypothesis of homoskedasticity are
                    declined founded on the aforementioned data. This suggests heteroskedasticity in the
                    variables. In a similar vein, the variables' serial correlation is revealed by LM serial
                    correlation. According to this, the model is a decent one. The Wald Test was used to
                    correctly  identify  the  combined  coefficient  importance  of  the  proxies  so  as  to
                    comprehend impact of the human capital proxies on employment.








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