International Journal of Statistics and Applied Mathematics
2021, Vol. 6, Issue 6, Part A
Testing granger causality and the assumptions of residuals in vector auto regressive model by using RAuthor(s):
Akasam Srinivasulu, MV Narayana Murthy and M Bhupati NaiduAbstract:
In this paper, the objective is to study whether and how the unemployment situation affected the GDP in India. To achieve this, a vector autoregression (VAR) model is employed and data analysis is carried out. To predict the future impact of unemployment on the GDP, we used the granger casualty function. Here the researchers focus on the assumptions like Serial correlation, Heteroscedasticity and the Normality of residuals. The data of GDP and unemployment of India can be taken from the world bank by using the command WDI from 1991 to 2020.Pages: 31-37 | Views: 223 | Downloads: 12Download Full Article: Click Here
How to cite this article:
Akasam Srinivasulu, MV Narayana Murthy, M Bhupati Naidu. Testing granger causality and the assumptions of residuals in vector auto regressive model by using R. Int J Stat Appl Math 2021;6(6):31-37.