In this article we review the role of agriculture on economy growth in Iran using Eviews 7 software, and some other techniques available for evaluating econometrics. In order to do so first we try to evaluate the stationarity of the pattern variables using the ADF (Augmented Dickey-Fuller) test and after that we estimate the VAR pattern. After this step, the long run and equilibrium relation between these variable were prompted using the Johansson cointegration test and according to this fact, the long run relationship was estimated. The results were totally as expected in the theories in Iran and the added value variables in agriculture, services, mine and industry and oil sectors had a positive relationship to economical growth. The economy growth rate is 0.03 percent per agricultural added value growth, and among these variables the effect of services sector is much more than the other variables, and agriculture’s contribution to economic growth is negligible. Then we have reviewed the growth response to the shocks from the pattern variables using the IRF (Impulse Response Function) and VD (Variance decomposition) norms. Moreover with estimating the ECM (error correction model) model the equilibrium coefficient was calculated as 0.67 which means a good rate in adjusting the economy growth.

Keywords