A Recursive Thick Frontier Approach to Estimating Production Efficiency
AbstractWe introduce a new panel data estimation technique for production and cost functions, the recursive thick frontier approach (RTFA). RTFA has two advantages over existing econometric frontier methods. First, technical inefficiency is allowed to be dependent on the explanatory variables of the frontier model. Secondly, RTFA does not hinge on distributional assumptions on the inefficiency component of the error term. We show by means of simulation experiments that RTFA outperforms the popular stochastic frontier approach and the 'within' ordinary least squares estimator for realistic parameterizations of a productivity model. Although RTFAs formal statistical properties are unknown, we argue, based on these simulation experiments, that RTFA is a useful complement to existing methods. Copyright 2006 Blackwell Publishing Ltd.
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Bibliographic InfoArticle provided by Department of Economics, University of Oxford in its journal Oxford Bulletin of Economics & Statistics.
Volume (Year): 68 (2006)
Issue (Month): 2 (04)
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Other versions of this item:
- Rien Wagenvoort & Paul Schure, 2005. "A Recursive Thick Frontier Approach To Estimating Production Efficiency," Econometrics Working Papers 0503, Department of Economics, University of Victoria.
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
- D2 - Microeconomics - - Production and Organizations
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