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:
  1. To assess short-run individual and collective influence of factors affecting food-grains productivity.
  2. To assess long run influence of factors determining productivity on food-grains production.
  3. 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.