This paper demonstrates the sensitivity of the linear programming approach in the estimation of productivity measures in the primal framework. Specifically, the sensitivity to the number of constraints (level of dis-aggregation) and imposition of returns to scale constraints is evaluated....

This paper estimates the unconditional and conditional linear dependence between exogenous supply (R&D), endogenous demand (prices) and TFP based on the linear feedback method. Unit root tests are performed for Nebraska agriculture sector data spread over 1936-94 time period. Results indicate...

This paper addresses the role of non-parametric analysis in adjusting agricultural productivity measures for environmental impacts. The modified Tornquist-Theil index computed using shadow prices derived from the programming procedures is compared and contrasted with a non-parametric hyperbolic...