Semiparametric smooth-coefficient stochastic frontier model
AbstractThis 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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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 120 (2013)
Issue (Month): 2 ()
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Web page: http://www.elsevier.com/locate/ecolet
Semiparametric smooth-coefficient model; Stochastic frontier; Environmental factors;
Find related papers by JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
- Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
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