Our goal is to promote empirical economics, and we want to achieve this through three main activities. First, we provide software-based, statistical and econometric assistance under research programmes carried out by the University’s lecturers and students. Secondly, we organize study competitions and training courses for high school students who are about to make career choices. Thirdly, we organize professional lectures to promote this topic.
The training programme is announced as a study programme accredited at postgraduate level, and applicants are required to hold degrees in mathematics or economics. In the full-time training programme, as part of the Corvinus-ELTE joint master’s programme in Actuarial and Financial Mathematics, we organize the actuarial specialization together with the Department of Operations Research and Actuarial Sciences.
The Corvinus Centre for Operations Research (CCOR) was established on 1 September 2020. The new research centre aims to carry out research in areas relevant to operations research (theory and algorithms and applications of continuous optimization; game theory; decision theory and its application; operations research models and their application). The Research Centre has five staff members and they carry out activities in divided jobs: they are lecturers at the Institute of Mathematics and Statistical Modelling; and carry out international-quality research in CIAS-CCOR.
The research group, taking its base primarily from the Department of Statistics, is operated as an independent organizational unit. Its tasks are to analyse practical problems that can be analysed with tools of economic and social statistics; and to incorporate results into the teaching of economic statistics and modelling type of subjects. The centre has the following main research topics: systems of national accounts; balance sheets of sectoral relations; income processes at the macro and micro levels; income inequalities; poverty; hidden economy; price analyses; indices; price regulation; and developing and running macro-, meso- and micro-level models based on statistics. Within the framework of a collaboration between BCE and the Central Statistical Office (CSO), the group intensively uses databases of the CSO for its research activities, in collaboration with CSO staff.