In this article we review the estimation of agriculture share in economic growth of Iran using Eviews 7 software, and current techniques in econometrics. In order to do so first we try to investigate the stationarity of the pattern variables using the Philips Perron (PP) test and after that we assure from stationarity of pattern variables. After this step, the long run and equilibrium relation between these variable were prompted using the Engle Granger cointegration test, and according to the results, the long run and equilibrium relationship exist between variables. Then the studied pattern was estimated by Ordinary Least Squares (OLS) estimate methods and the results confirm to theoretical and statistical expectations .So that the variables of value added of agriculture , services , industry & mining , and oil sectors have positive and meaningful relationship in economic growth. Regarding the studied pattern is a logarithm linear Regression. The coefficients represent the economic growth elasticity relative to value added of variables of agriculture, services, industry & mining, and oil sectors. And also, the economic growth elasticity relative to value added of agriculture sector is 0.09 which in regarding the results, services sector has more influence on economic growth in comparison with agriculture sector. Moreover agriculture sector share in economic growth is not remarkable. For assuring from non- existence of serial correlation and variance heteroskedasticity problem in the pattern , we have proceeded to two issues .The results are reported that two mentioned problems are not in the pattern

Keywords