What is he best known for?
The fields of study he is best known for:
- Statistics
- Normal distribution
- Macroeconomics
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.
His most cited work include:
- Financial development and economic growth: evidence from panel unit root and cointegration tests (700 citations)
- Stochastic frontier models with random coefficients (212 citations)
- Nonparametric stochastic frontiers: a local maximum likelihood approach (175 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Econometrics (51.49%)
- Bayesian probability (21.29%)
- Markov chain Monte Carlo (17.82%)
What were the highlights of his more recent work (between 2015-2020)?
- Econometrics (51.49%)
- Monetary economics (11.88%)
- Bayesian probability (21.29%)
In recent papers he was focusing on the following fields of study:
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
- Public sector which intersects with area such as Business cycle and Labour economics,
- Total factor productivity and related Equity, Convergence and Market liquidity.
Between 2015 and 2020, his most popular works were:
- A Spatial Stochastic Frontier Model with Spillovers: Evidence for Italian Regions (28 citations)
- The good, the bad and the technology : endogeneity in environmental production models (21 citations)
- Business cycle determinants and fiscal policy: A Panel ARDL approach for EMU (12 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Normal distribution
- Macroeconomics
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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