Dieter Gstach () (Department of Economics, Vienna University of Economics & B.A.)
Abstract
This paper surveys four distinct approaches to frontier estimation of multi-output (and simultaneously multi-input) technologies, when nothing but noisy quantity data are available. Parametrized distributions for inefficiency and noise are necessary for identification of inefficiency, when only cross-sectional data are available. In other respects suitable techniques may differ widely, as is shown. A final technique presented rigorously exploits the possibilities from panel-data by dropping parametrization of distributions as well as functional forms. It is illustrated how this last technique can be coupled with the others to provide a state-of-the-art estimation procedure for this setting.
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Publisher Info
Paper provided by Vienna University of Economics and B.A., Department of Economics in its series Department of Economics Working Papers with number
wuwp059.
Find related papers by JEL classification: D24 - Microeconomics - - Production and Organizations - - - Production; Capital and Total Factor Productivity; Capacity C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods
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