Laboratory of Quantitative Economics and Information Systems
Quantitative Economics and Information Systems, photo: StockSnap@pixabay
The Laboratory of Quantitative Methods and Information Systems (QMIT) serves educational and research needs in the fields of statistics, econometrics, computational methods and information systems.
The fields of Economics in which the Laboratory is actively involved include:
Theoretical and Applied Econometrics
Theoretical and Applied Statistics
Models of Distribution Mixes
Applications of the EM Algorithm
Information Systems and the World Wide Web
The scientific work of QMIT during the period 2016-2019 includes, but is not limited to, the following publications in scientific journals and book chapters, working papers and papers presented in scientific conferences:
An investigation of factors affecting the visits of online crowdsourcing and labor platforms. Mourelatos, E., Tzagarakis, M., 2018, NETNOMICS: Economic Research and Electronic Networking 19(3), pp. 95-130
Enhancing the impact of online hotel reviews through the use of emoticons, Manganari, E.E., Dimara, E., 2017, Behaviour and Information Technology, 36(7), pp. 674-686
Don't change my towels please: Factors influencing participation in towel reuse programs, Dimara, E., Manganari, E., Skuras, D., 2017, Tourism Management, 59, pp. 425-437
Transmission chains of economic uncertainty on macroeconomic activity: new empirical evidence, Salamaliki, P.K., Venetis, I.A., 2018, Macroeconomic Dynamics, pp. 1-31
Asymptotic results for a stationary random process generated by the stochastic EM algorithm in mixture analyses. A. Polymenis (2018), Journal of Statistics and Management Systems, 21(2), pp. 251-260.
Modelling reliability: a practical application from industry. A. Polymenis (2018), Advanced Engineering Research and Applications, vol. 9, chapter 22, pp. 283-288, Ed. Hongseok Choi, Research India Publications.
Dynamic Factor Models in gretl. The DFM package. Συγγραφείς: Riccardo Jack Lucchetti, Ioannis A Venetis, Date: 2019/1, Source: gretl working papers
Daskalou, V. & Komninou, M. Designing an online entrepreneurship course for Higher Education: preliminary issues and challenges. Proc, of the 10th Pan-Hellenic and International Conference "ICT in Education", Ioannina, Greece, September 2016.
QML-EM estimation of dynamic factor models in gretl. Towards a Labor Market Condition Index for Greece. I. Venetis. Marche Polytechnic University, Department of Economics and Social Sciences, Ancona Italy (9 November 2017)
Time series forecasting and forecast evaluation in economics. An introduction. (26 April 2018). I. Venetis. Presentation at the interdisciplinary postgraduate program: “Mathematics of Computers and Decision Making”, Department of Computer Engineering and Informatics (CEID) and the Department of Mathematics, University of Patras, for the course “Case studies in Decision Making”