The lion’s share of research conducted in the Chair of Economics and Finance concentrates on monitoring the vacancy market through online job offers, improving methods of that analysis and deepening both cyclical and structural dimensions of the analysis. With that data, we continue the process of improving the method for monitoring skills mismatch in the labour market at a detailed level. The Chair also contributes to research on non-extensive entropy econometrics for high-frequency series, productivity spillover effects from Foreign Direct Investments located in Poland, and – last but not least – methods for forecasting the stock market and currency exchange market, including cryptocurrencies.
Scientific research projects financed from external sources:
Subject: The method of continuous monitoring of educational mismatch on the labour market at a detailed level
Project Manager: Robert Pater, Ph.D. Assoc. Prof. firstname.lastname@example.org
The main aim of the project was to improve the effectiveness of cooperation between science and education and the business environment by developing a method of continually assessing the educational mismatch between labour supply and demand for work at a detailed level, i.e. a mismatch regarding the field of education, qualifications and competences, and examining their causes. The main result of the project is the development and access to a method of continuous monitoring of detailed adjustment of the education sector to the requirements of the labour market on the example of Poland. The project results also include: a detailed assessment of educational mismatches on the labour market and conclusions for education policy and the labour market.
Period of implementation: 28.06.2017–27.05.2019
Financing: Program Dialog MNiSW ( 0127/DLG/2017/10 )
Research financed from the subsidy of the Ministry :
Subject : Vacancy market research based on big data from non-survey data sources: testing new data sources, including skills and analysis of representativeness
Project Manager : Robert Pater, Ph.D. Assoc. Prof email@example.com
Economic and statistical literature on the use of online job offers has been developing dynamically. Official statistics are looking for non-random data sources to complement expensive sample surveys and obtain high level of detail (e.g., data on skills that are difficult to obtain from probability surveys) with increasing attention to selectivity (coverage and representativeness). However, most of the data are not entirely reliable, do not use official classifications, and do not include information about matching with jobseekers.
This is the next stage of research using the data collected as part of the Job Offers Barometer. We plan to extend the research to include other data sources, and to compare them in the context of representativeness and detail of the results.
The aim of the research is to test several sources of data on vacancies:
• online job offers from selected portals, including olx.pl,
• job offers from public employment services (PES),
• a representative survey of the Central Statistical Office
Implementation period: 2021-2022
Subject: The role of financialization in the functioning of the economy
Project Manager: Agata Gemzik-Salwach, PhD, firstname.lastname@example.org
The main objective of the research is to present the role of financialization in the economy from the point of view of its impact on the economy in the following dimensions: macroeconomic, functioning of enterprises and situation of households and social behavior.
Period of implementation: 2021-2022
Subject: Evaluation of the economic effects of restructuring proceedings in Poland opened in 2016-2019
Project Manager: Ulyana Dzyuma-Zaremba, M.Sc. email@example.com
Studies have shown that starting the restructuring process at an early stage of financial difficulties gives a better chance of approving an arrangement with creditors in a short period of time. The more difficult the situation of a business entity is, the more tools are needed to regain liquidity, the restructuring process is more complicated, and thus time-consuming and less effective.
Period of implementation: 2019–2021