This paper tries to study the role of agriculture on economy growth in Iran using Microfit software, and some other techniques available for evaluating econometrics. To this end, first the Dickey- Fuller GLS (DF-GLS) test and then the ARDL cointegration test were applied respectively to study the stationarity and long run and equilibrium relation of the pattern variables. The results indicate that there is a long run and equilibrium relation between the variables and according to this fact, the long run relationship was estimated. The results were totally as expected in the theories and statistics in Iran and the value added variables in agriculture, services, mine and industry and oil sectors had a positive and meaningful relationship to economical growth. The economy growth rate is 0.09 percent per agricultural value added 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. In addition, Error Correcation Model (ECM) has been used to investigate the relation between short and long run fluctuations in economic growth.

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