 Dear student, as we have discussed about the data, we have discussed about the model specifically in case of Nigerian economy, in which they have like checked the impact of bank lending on economic growth of the Nigeria. And they have justified why they are going to check the impact on Nigerian economy. And in the same pattern, you can like apply the same model, same methodology, even same philosophy on different economies and check whether the finance lead growth is applicable or not. Export lead growth, you can apply it, you can import lead growth, investment lead growth, you can apply it. Now, by applying any type of technique, you can see whether it is workable or not. In the same technique, you have some like estimations that we have estimated in as you know in your time series, you have the idea of unit truth, you have the idea of EDF, DF's idea of cointegration, Angel Granger's idea of how to apply all these things. In the same pattern, when you are going to apply the like SOAR model, there are some like estimation technique in which some are like unit truth and cross correlation and VIF for multicollinearity. We have discussed in the paper and I want to share with you the research paper section on estimation techniques. Dear student, this is your research paper and in section 5, they have the like techniques for the test of unit truth. And you know that this is augmented, EDF augmented Dickey Fuller unit truth test was performed on the variable of study or us may you have the idea of our GDP for agriculture, real GDP for industry and all the five sectors. The result on table 2 shows absolute value of the variable computed EDF test greater than one. Whether the variable is I0 integrated of order 0 or integrated of order 1 or integrated of order 2, EDF will tell and second one is test for cross sectional correlation. What cross sectional correlation important, like if you are going to check the correlation and there is like no correlation in all the like equation, then the OLS is the best match. How I in Zellner 68 was shown that when the error term are correlated across equation, the equation are related our joint estimation rather than equation by equation estimation, then the best for that is the Bruce Pagan test of independent OLS estimation and the cross correlation, the concluding remarks are that the cross correlation shows high correlation coefficient of residual among the equation across the sectors. This has concluded that on the basis of cross correlation, there is high correlation coefficient of the residual among the equation across the sector which indicate that the sur estimation is more appropriate than the OLS equation by equation procedure. Then to check the multicollinearity, they have applied VIF which is variant inflation factor and you know it's acceptable range and 10 is the basically threshold level and threshold level say agar value chhoti hoti hai, it means there is no problem of multicollinearity and in this model the VIF value is only 5.32 which is less than 10 which shows that yes there is no multicollinearity in the model. So aap in saare test ko aap apply karkit chek kar sakta hai that whether aapki estimation reliable hai jaat nahi hai.