Semiparametric smooth-coefficient stochastic frontier model
This paper proposes a semiparametric smooth-coefficient (SPSC) stochastic production frontier model where regression coefficients are unknown smooth functions of environmental factors (Z). Technical inefficiency is specified in the form of a parametric scaling function which also depends on the Z variables. Thus, in our SPSC model the Z variables affect productivity directly via the technology parameters as well as through inefficiency. A residual-based bootstrap test of the relevance of the environmental factors in the SPSC model is suggested. An empirical application is also used to illustrate the technique.
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