Zero-inefficiency stochastic frontier models with varying mixing proportion: a semiparametric approach

DOI10.1016/j.ejor.2015.10.019zbMath1347.91178OpenAlexW2178415695MaRDI QIDQ321114

Kien C. Tran, Mike G. Tsionas

Publication date: 7 October 2016

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://eprints.lancs.ac.uk/id/eprint/78589/1/SP_ZISF_Sept_2015.pdf

zbMATH Keywords

backfitting local maximum likelihoodsemiparametric approachsieve likelihood ratio statisticsvarying proportionzero-inefficiency

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric estimation (62G05) Production theory, theory of the firm (91B38) Mathematical economics (91B99)

Related Items (7)

A generalized inefficiency model with input and output dependence ⋮ Adjustment costs in the technical efficiency: an application to global banking ⋮ Estimating Malmquist productivity indexes using probabilistic directional distances: an application to the European banking sector ⋮ A Bayesian semiparametric approach to stochastic frontiers and productivity ⋮ Estimating stochastic production frontiers: a one-stage multivariate semiparametric Bayesian concave regression method ⋮ Estimation of a smooth coefficient zero-inefficiency panel stochastic frontier model: a semiparametric approach ⋮ The GMM estimation of semiparametric spatial stochastic frontier models

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