AThis research aimed to develop a new model for estimation problems of Cobb-Douglas production function. Specifically, the researcher focused on the problems of outliers and multicollinearity, and on solutions that were proposed to deal with these issues simultaneously. The Cobb-Douglas production function was usually fitted by first linearizing the models through logarithmic transformation and then applying the method of least squares. However the log transformation process did not get rid of all the outliers and multicollinearity problems. These problems appeared to have wide repercussions. Yet, these problems had not been known for their written solutions, and no serious research had been conducted in this field. The researcher attempted to develop the best possible method for providing estimates in the context of the Libyan agricultural sector by using the robust partial least squares path modeling (RPLS­PM). The results from RPLS-PM analysis showed that each block consisted of st.....

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