Abstract

Economic goals, such as efforts to optimize resource allocation, offset of income distribution and economic growth are very important for all nations. According to economic plans in Iran, Gross National Product (GNP) should increase at least 8%.One of the important factors for obtaining this essential goal (economic growthmore than 8%) is to reduce unemployment rate to 7% and increase employment rate. Increase in non-oil exports can affect aggregate demand and reduceunemployment. In this paper we have studied the relationship betweenunemployment and non-oil exports using econometric methods such as ordinaryleast squares (OLS). Non-oil exports should be considered as one of the strategies for reducing unemployment, by economic agents and policy makers. Statistical data, and time series data is collected from central bank and through internet sites of formal statistical organizations. According to experimental results the logarithmic functions show better estimates, so the logarithmic functions are used to estimate and explain the relationships between variables. Results showing that the researchhypothesis that increases non-oil exports, increase employment and reduceunemployment during the study period, would be accepted.

Key words: Economic growth, employment, non-oil exports, unemployment rate.