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Nt1310 Unit Root Test

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5. RESULTS AND DISCUSSIONS 5.1 Unit Root Test Results Unit root test was the first test done on each of the independent variables in both models to check for stationarity. As putting the result of each test here would make it congested, the T-static and probability values from the results are selected from each result and compiled in the tables hereunder. The unit root test results for each variable are attached in the appendix. Table 5. 1 Result of unit Root Test for Recurrent-Capital Expenditure and GDP Variable Level 1st Difference Stationary at T-Static Prob. Decision T-Static Prob. Decision log(GDP) -0.867 0.945 Not Stationary -4.137 0.017 Stationary 1st Difference log(CE) -0.428 0.982 Not Stationary -4.787 0.003 Stationary 1st Difference …show more content…

of CE(s) Eigenvalue Statistic Critical Value Prob.** None * 0.650 32.562 27.584 0.011 At most 1 0.297 10.908 21.132 0.657 At most 2 0.171 5.824 14.265 0.636 At most 3 0.094 3.064 3.841 0.080 Max-eigenvalue test indicates 1 cointegrating eqn(s) at the 0.05 level * denotes rejection of the hypothesis at the 0.05 level **MacKinnon-Haug-Michelis (1999) p-values Both Trace test and Max-eigenvalue test results shown above indicate that there exists 1 cointegrating eqn(s) at the 0.05 level. The test performed for variables for Model II (including the sectoral expenditure) assumed the some of the series to have trend while some are stochastic in the series with ‘Intercept and trend in CE – no trend in VAR’ trend specification selected, and one lag used in differences (two lags in

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