Dr. Mike Tsionas
Research themes :
Econometrics, Applied Econometrics, Bayesian Technique in Time Series and Panel Data, Efficiency and Productivity and Banking Models
Teaching department :
Finance, Control and Law
Selected Intellectual Contributions
P. Patel., Tsionas M.G. & Assaf AF. Forthcoming. How much do food establishments learn from health safety inspections? Not much! Evidence from Los Angeles . International Journal of Hospitality Management.
Tsionas M.G. Forthcoming. Comparison of stochastic frontier models using the Hyvarinen factor. Economics Letters.
Tsionas M.G. & Filippas D. Forthcoming. Measures of global sensitivity in linear programming: Applications in banking sector. Annals of Operations Research. [https://doi.org/10.1007/s10479-021-03980-x]
Tsionas M.G. Forthcoming. Optimal combinations of stochastic frontier and data envelopment analysis models. European Journal of Operational Research. [https://doi.org/10.1016/j.jom.2018.10.001]
Tsionas M.G. 2021. Bayesian forecasting with the structural damped trend model. International Journal of Production Economics, 234: 108046.
Tsionas M.G. Forthcoming. Multi-criteria optimization in regression. Annals of Operations Research. [https://doi.org/10.1007/s10479-021-03990-9]
Mamatzakins E. & Tsionas M.G. Forthcoming. Making inference of British household’s happiness efficiency: A Bayesian latent model. European Journal of Operation Research. [https://doi.org/10.1016/j.ejor.2021.01.031]
Khan C. & Tsionas M.G. 2021. Constraints in models of production and cost via slack-based measures. Empirical Economics, 60(3).
Tsionas M.G. & Apergis N. Forthcoming. Another look at Contagion across US and European financial markets: Evidence from the CDS markets. International Journal of Finance and Economics.