This paper has used Standard VAR model to assess the individual
influence of factors of food grain production in the short-run.
Similarly, in order assess the joint influence this paper used Wald Test
in the short-run causality test. On the other hand, we used the Vector
Error Correction Model (VECM) for long-run causality test. Towards each
of the Short and long run tests we have gone through several diagnostic
tests like LM Autocorrelation test, Normality test &White
Heteroscedasticity test to check the robustness of the model.
Objectives: Followings are the objectives of the study:
- To assess short-run individual and collective influence of factors
affecting food-grains productivity.
- To assess long run influence of factors determining productivity on
food-grains production.
- To check possible influence among different factors.
Results & Discussion: By using the standard VAR model for short run and
VECM model for long run the paper upholds following results.
Short Results Analysis: Here the table below shows all the coefficients
that came significant by concerning their respective P-values.