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Spatial Stochastic Frontier Models

Spatial Stochastic Frontier Models
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A Stochastic Frontier Model with Correction for Sample Selection [PDF]

William Greene
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Stochastic frontier models of prism vertices

Stochastic frontier models of prism vertices
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Dynamic quantile stochastic frontier models

International Journal of Hospitality Management, 2020
This paper introduces the concept of dynamic quantile regression to the context of stochastic frontier models. We develop a Dynamic Quantile Stochastic Frontier (DQSF) in a Bayesian framework to take into account possible shifts of production (i.e. outputs) over time.
Assaf, A. George, Tsionas, Mike G., Kock, Florian   +2 more
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Compression in stochastic frontier models

Annals of Tourism Research, 2021
•We develop a compressed SF model to account for heterogeneity.•We allow for cross-sectional and time-series variation in all coefficients.•We use Bayesian Compression to reduce the dimensionality of the parameter space.
Mike G. Tsionas, A. George Assaf
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A Bayesian non-parametric stochastic frontier model

Annals of Tourism Research, 2021
In this paper, we introduce a new Bayesian non-parametric stochastic frontier (SF) model that addresses the endogeneity problem and relaxes problematic assumptions regarding functional form, and distributional properties. The model can be seen as a competitor to DEA.
Assaf, A. George, Tsionas, Mike, Kock, Florian, Josiassen, Alexander   +3 more
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Spatial Stochastic Frontier Models

2010
The stochastic frontier model with heterogeneous technical efficiency_x000D_ explained by exogenous variables is augmented with a sparse spatial autoregressive component for a cross-section data, and a spatial-temporal component for a panel data.
Josef Yap, Mari-Len Macasaquit, Kathrina Gonzales   +2 more
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Multivariate Skew Normal-Based Stochastic Frontier Models

Journal of Statistical Theory and Practice, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhu, Xiaonan, Wei, Zheng, Wang, Tonghui
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A stochastic frontier regression model with dynamic frontier

Communications in Statistics - Simulation and Computation, 2020
We consider a stochastic frontier regression model with a time dependent efficiency process, which is assumed to follow an exponential autoregressive sequence.
T. V. Ramanathan, Neelabh Rohan, Bovas Abraham   +2 more
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Semiparametric Bayesian inference for stochastic frontier models [PDF]

Journal of Econometrics, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jim E. Griffin, Mark F.J. Steel
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