Technical and allocative efficiency in a panel stochastic production frontier system model
Hung-pin Lai () and
Subal C. Kumbhakar
European Journal of Operational Research, 2019, vol. 278, issue 1, 255-265
In this paper, we consider a state-of-the-art panel stochastic production frontier model and estimate it using a system that includes both technical and allocative inefficiency. The system consists of the optimal input choice rule (the first-order conditions (FOCs)) under cost minimization together with the production function. The FOCs are used to take care of endogeneity of inputs. Allocative inefficiency is modeled as non-fulfillment of the FOCs. We use distributional assumptions on the noise and inefficiency components and estimate the model parameters using the maximum likelihood method. In estimating technical and allocative inefficiency components and costs therefrom we control for fixed firm-effects in each equation of the system. We also correct for the incidental parameter bias by using the half-panel jackknife estimator.
Keywords: Endogeneity; Technical inefficiency; Allocative inefficiency; Incidental parameter problem; Half-panel jackknife estimator (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:278:y:2019:i:1:p:255-265
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