2021, Vol. 6, Issue 6, Part A
Testing granger causality and the assumptions of residuals in vector auto regressive model by using R
Author(s): Akasam Srinivasulu, MV Narayana Murthy and M Bhupati Naidu
Abstract: 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: 401 | Downloads: 17Download Full Article: Click HereHow 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.
