His primary areas of study are Econometrics, Bayesian probability, Inefficiency, Statistics and Frontier. His work on Panel data as part of general Econometrics research is frequently linked to Estimation, bridging the gap between disciplines. His research integrates issues of Cointegration, Error correction model and Unit root in his study of Panel data.
His work on Gibbs sampling as part of general Bayesian probability study is frequently linked to Component, therefore connecting diverse disciplines of science. His Inefficiency research incorporates themes from Inference, Ceteris paribus, Productivity, Sample and Econometric model. His work in Inference tackles topics such as Mathematical economics which are related to areas like Computation and Economic model.
Econometrics, Bayesian probability, Markov chain Monte Carlo, Inefficiency and Gibbs sampling are his primary areas of study. His Econometrics research incorporates elements of Productivity, Production and Allocative efficiency. In Bayesian probability, Efthymios G. Tsionas works on issues like Inference, which are connected to Data envelopment analysis.
His Markov chain Monte Carlo research is multidisciplinary, incorporating elements of Markov chain and Bayesian inference. His Inefficiency study frequently involves adjacent topics like Sample. As a member of one scientific family, Efthymios G. Tsionas mostly works in the field of Gibbs sampling, focusing on Bayesian linear regression and, on occasion, Bayesian statistics and Marginal likelihood.
His primary areas of investigation include Econometrics, Monetary economics, Bayesian probability, Production and Market power. His study in Econometrics is interdisciplinary in nature, drawing from both General equilibrium theory, Short run and Debt. In the subject of general Bayesian probability, his work in Gibbs sampling is often linked to Context, thereby combining diverse domains of study.
The various areas that he examines in his Production study include Diffusion and Markov chain Monte Carlo. His Markov chain Monte Carlo research includes themes of Inefficiency, Endogeneity, Bayesian inference, Mathematical optimization and Productivity. His study on Market power also encompasses disciplines like
The scientist’s investigation covers issues in Production, Econometrics, Finance, Monetary economics and Inefficiency. His Production research integrates issues from Order, Bayesian probability and Diffusion. Efthymios G. Tsionas performs multidisciplinary study on Econometrics and Frontier in his works.
Efthymios G. Tsionas interconnects Mergers and acquisitions, Robustness, Financial crisis and Unemployment in the investigation of issues within Monetary economics. The study incorporates disciplines such as Spatial analysis, Service, Operations management and Markov chain Monte Carlo in addition to Inefficiency. His studies deal with areas such as Endogeneity, Production–possibility frontier, Production model and Minification as well as Markov chain Monte Carlo.
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Financial development and economic growth: evidence from panel unit root and cointegration tests
Dimitris K Christopoulos;Efthymios G Tsionas.
Journal of Development Economics (2004)
Stochastic frontier models with random coefficients
Efthymios G. Tsionas.
Journal of Applied Econometrics (2002)
Nonparametric stochastic frontiers: a local maximum likelihood approach
Subal C. Kumbhakar;Byeong U. Park;Léopold Simar;Efthymios G. Tsionas.
Journal of Econometrics (2007)
European common stochastic long-run trends
Panagiotis Reppas;Efthymios G. Tsionas;Dimitris Christopoulos.
Journal of Economics (2001)
Joint estimation of technology choice and technical efficiency : an application to organic and conventional dairy farming
Subal C. Kumbhakar;Efthymios G. Tsionas;Timo Sipiläinen.
Journal of Productivity Analysis (2009)
The joint estimation of bank-level market power and efficiency
Manthos D. Delis;Efthymios G. Tsionas.
Journal of Banking and Finance (2009)
FIRM HETEROGENEITY, PERSISTENT AND TRANSIENT TECHNICAL INEFFICIENCY: A GENERALIZED TRUE RANDOM-EFFECTS model
Efthymios G. Tsionas;Subal C. Kumbhakar;Subal C. Kumbhakar.
Journal of Applied Econometrics (2014)
Inference in dynamic stochastic frontier models
Efthymios G. Tsionas.
Journal of Applied Econometrics (2006)
Does public sector efficiency matter? Revisiting the relation between fiscal size and economic growth in a world sample
Konstantinos Angelopoulos;Apostolis Philippopoulos;Apostolis Philippopoulos;Efthymios Tsionas.
Public Choice (2008)
Measuring technical and allocative inefficiency in the translog cost system: a Bayesian approach
Subal C. Kumbhakar;Efthymios G. Tsionas.
Journal of Econometrics (2005)
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