A Bayesian estimator for stochastic frontier models with errors in variables

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Title:	A Bayesian estimator for stochastic frontier models with errors in variables
Authors:	Chang, Sheng-Kai;Chen, Yi-Yi;Wang, Hung-Jen
Contributors:	淡江大學經濟學系
Keywords:	Stochastic frontier models;Measurement errors;Bayesian estimator
Date:	2011-09-18
Issue Date:	2012-09-29 13:33:25 (UTC+8)
Publisher:	New York: Springer New York LLC
Abstract:	A Bayesian estimator is proposed for a stochastic frontier model with errors in variables. The model assumes a truncated-normal distribution for the inefficiency and accommodates exogenous determinants of inefficiency. An empirical example of Tobin’s Q investment model is provided, in which the Q variable is known to suffer from measurement error. Results show that correcting for measurement error in the Q variable has an important effect on the estimation results.
Relation:	Journal of Productivity Analysis 38(1), pp.1-9
DOI:	10.1007/s11123-011-0242-2
Appears in Collections:	[Graduate Institute & Department of Economics] Journal Article

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