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Bayesian approach to disentangling technical and environmental productivity

Malikov, Emir; Kumbhakar, Subal; Tsionas, Efthymios G. - In: Econometrics : open access journal 3 (2015) 2, pp. 443-465

the traditional (desirable-output-oriented) technical productivity and the undesirable-output-oriented environmental, or … so-called "green", productivity. To measure the latter, we derive a Solow-type Divisia environmental productivity index … which, unlike conventional productivity indices, allows crediting the ceteris paribus reduction in undesirable outputs. Our …

Persistent link: https://www.econbiz.de/10011297619

On the estimation of total factor productivity : a novel Bayesian non-parametric approach

Tsionas, Efthymios G.; Polemis, Michael - In: European journal of operational research : EJOR 277 (2019) 3, pp. 886-902

Persistent link: https://www.econbiz.de/10012102208

Quantile stochastic frontiers

Tsionas, Efthymios G. - In: European journal of operational research : EJOR 282 (2020) 3, pp. 1177-1184

Persistent link: https://www.econbiz.de/10012161889

Directional technology distance functions through duality

Tsionas, Efthymios G. - In: Economics letters 190 (2020), pp. 1-5

Persistent link: https://www.econbiz.de/10012228175

Robust Bayesian inference in stochastic frontier models

Tsionas, Efthymios G. - In: Journal of risk and financial management : JRFM 12 (2019) 4/183, pp. 1-9

We use the concept of coarsened posteriors to provide robust Bayesian inference via coarsening in order to robustify posteriors arising from stochastic frontier models. These posteriors arise from tempered versions of the likelihood when at most a pre-specified amount of data is used, and are...

Persistent link: https://www.econbiz.de/10012171282

Bayesian treatments for panel data stochastic frontier models with time varying heterogeneity

Liu, Junrong; Sickles, Robin C.; Tsionas, Efthymios G. - In: Econometrics : open access journal 5 (2017) 3, pp. 1-21

This paper considers a linear panel data model with time varying heterogeneity. Bayesian inference techniques organized around Markov chain Monte Carlo (MCMC) are applied to implement new estimators that combine smoothness priors on unobserved heterogeneity and priors on the factor structure of...

Persistent link: https://www.econbiz.de/10011711007