Investigating the effects of Technology and Education on labor productivity in the agricultural sector in Iran (A Nonlinear Approach)

ABSTRACT: This research is about detecting and investigating effective factors of Technology and Education on labor productivity in the agricultural sector in Iran. In this regards, many opinions was proposed about Technology and Education on labor productivity in economic literature so that according to economic condition of countries, they proposes various opinions about ways of Technology and Education effectiveness on labor productivity in the agricultural sector. This study uses annual time series data (1961-2007) and unit root tests and analyze them using Smooth Transition Regression (STR) model. This nonlinear technique accommodates potential structural breaks that could undermine the existence of a long-run relationship between labor productivity and its main determinants.