Magdalena Osińska - Academia.edu (original) (raw)

Papers by Magdalena Osińska

Ekonomia i Prawo, Jun 30, 2023

Motivation: Job satisfaction as an attitude that reflects an evaluation judgment of the various a... more Motivation: Job satisfaction as an attitude that reflects an evaluation judgment of the various aspects of a job is an essential factor influencing employees as well as employers. The well-being of individuals, activity in the labor market, productivity, and turnover are examples of effects of job satisfaction. The inclusion of the circumstances of Poland and the Czech Republic countries and additionally young generations (GenY and GenZ) context enables the formulation of practical implications for increasing job satisfaction for both employers and employees in CEE countries. Aim: The research aims to identify factors that shape job satisfaction patterns among young adults, including age as an indicator variable in Poland and the Czech Republic. The identification is based on the two separate ordered logit models estimated in the group of young adults ages 18-29. The models were built upon the data collected in 2021 in a survey using the CAWI technique on a sample of 304 respondents in Poland and 259 in the Czech Republic. Result: The results of the logit models estimation indicate that job satisfaction in Poland and the Czech Republic is determined by various sets of factors considered in four dimensions, i.e., behavioral, economic, educational, and socio-demographic. Substantial differences between young adults in both countries were recognized. The greatest impact on job satisfaction in Poland has the willingness to control expenses and wage satisfaction. In the Czech Republic, job satisfaction is most strongly influenced by the imposition of rules that discipline expenditure and wage satisfaction.

Przegląd Statystyczny, Jun 30, 2022

In our previous studies, we modified the Enders and Siklos test for threshold error correction to... more In our previous studies, we modified the Enders and Siklos test for threshold error correction to a version allowing the individual threshold variable to be responsible for the asymmetric mechanism of the system. The idea was to learn about the threshold mechanism both in the long and short run. In this paper, we tested for the asymmetry of the adjustment of the error correction mechanism towards the long-run path. The subsamples within regimes differ in size with respect to the threshold value. The novelty lies in the division of both short and long-run variables according to a threshold variable with a given threshold value (assumed or estimated). We named the test extended Enders and Siklos test (exE-S). The present study focuses on the power and size of the modified procedure. A simulation study was designed, computed and conducted. The results are favourable for the proposed approach, although they strongly depend on the difference in values between the adjustment parameters in the regimes.

Zeszyty Naukowe Uniwersytetu Szczecińskiego. Finanse. Rynki finansowe. Ubezpieczenia, 2004

European Research Studies Journal, Nov 1, 2020

Purpose: The purpose of the paper is to identify students' attitudes in Poland towards saving and... more Purpose: The purpose of the paper is to identify students' attitudes in Poland towards saving and investment and evaluate determinants that influence the probability of accumulating funds and subjective satisfaction of financial results. Design/Methodology/Approach: The analysis was conducted using survey data collected in August 2018. Over 400 questionnaires were collected from Polish students using CAVI method. The structure of the sample corresponds to the target sample of students reported in another research. Statistical methods of analysis are used, i.e., analysis of empirical distribution and its characteristics and correlation measures. Logit regression models for microdata are used to evaluate the impact of factors that determine the probability of saving and investing money. Findings: In the sample, most students were fully aware that savings are important. However, the amount of money they were able to save is not big. Due to the liquidity preference, students typically keep money in ready cash and bank accounts. The factors determining propensity to save, propensity to invest and subjective satisfaction from savings have been specified. Practical Implications: The research results are useful for comparisons with other reports on savings and investment. They are useful for financial institutions policy creation and financial education. Originality/Value: This research's value lies in the original survey prepared under the supervision of a financial institution and applying the advanced econometric methodology.

EUROPEAN RESEARCH STUDIES JOURNAL, 2020

Energies

Due to industrialization, urbanization, and rapid population increases, the worldwide energy dema... more Due to industrialization, urbanization, and rapid population increases, the worldwide energy demand is increasing daily. The need for energy meets limitations, and searching for new energy sources is crucial, particularly for European countries. Energy crises occur temporarily due to different circumstances and cause oil price fluctuations. The present study aims to identify circular economy (CE) determinants that conditionally increase/decrease energy use to remain sustainable. It focuses on the linkage between energy consumption and circular economy in the European Union (EU) member states. In the econometric panel model specifications, two alternative endogenous variables are considered, i.e., total energy consumption and energy consumption from renewable sources. The results demonstrate that the selected CE indicators decreased the former and increased the latter. The data covered the period from 2010–2019. The significance of this study relies upon identifying the current level...

Brazil, Russia, China, India, and the Republic of South Africa (BRICS) represent developing econo... more Brazil, Russia, China, India, and the Republic of South Africa (BRICS) represent developing economies facing different energy and economic development challenges. The current study aims to forecast energy consumption in BRICS at aggregate and disaggregate levels using the annual time series data set from 1992 to 2019 and to compare results obtained from a set of models. The time-series data are from the British Petroleum (BP-2019) Statistical Review of World Energy. The forecasting methodology bases on a novel Fractional-order Grey Model (FGM) with different order parameters. This study contributes to the literature by comparing the forecasting accuracy and the forecasting ability of the FGM(1,1) with traditional ones, like standard GM(1,1) and ARIMA(1,1,1) models. Also, it illustrates the view of BRICS's nexus of energy consumption at aggregate and disaggregates levels using the latest available data set, which will provide a reliable and broader perspective. The Diebold-Marian...

Dynamic Econometric Models, 2002

In recent economic literature it has been emphasized that across both advanced countries and emer... more In recent economic literature it has been emphasized that across both advanced countries and emerging markets, high levels of debt-to-gross domestic product (GDP) ratio (90% and above) are associated with notably lower growth outcomes. On the other hand, much lower levels of external debt-to-GDP ratio (60% and below) are associated with adverse outcomes for emerging market growth. These findings have been broadly cited and used in practice. On the other hand, there is an opposite evidence, such that the initial level of debt-to-GDP ratio has no impact on economic growth rate. Taking both viewpoints into account, we propose to employ a time series-based nonlinear mechanism in the threshold autoregression form in order to examine the possible relationship between economic growth rate and its potential determinants included the mentioned debt-to GDP indicator. The originality of the study is that it employs threshold variables instead of exogenous variables and time-series data instead...

The aim of this study was to verify the stability of monetary systems. Systems were measured by a... more The aim of this study was to verify the stability of monetary systems. Systems were measured by aggregate narrow money in selected emerging economies. The United Kingdom's economy was used as a benchmark. The Baumol-Tobin and Friedman monetary models were used as the theoretical basis for the for empirical error-correction models. A Bayesian averaging of classical estimates (BACE) approach was used to incorporate model uncertainty and select the best model. The results show that the monetary systems in 6 of the 11 economies were stable in the long run and that a set of factors changed in the short run. The robustness of the model selection based on the BACE procedure was strongly confirmed.

In the paper of Reinhart and Rogoff (2010) it was stated that across both: advanced countries and... more In the paper of Reinhart and Rogoff (2010) it was stated that across both: advanced countries and emerging markets, high debt/GDP levels (90 percent and above) are associated with notably lower growth outcomes. On the other hand much lower levels of external debt/ GDP ratio (60 percent) are associated with adverse outcomes for emerging market growth. Taking into account these findings we decided to check the mechanism of growth depending on several macroeconomic variables such as: public debt, budget deficit, rate of inflation, interest rate, and rate of unemployment as well as the level of growth itself. The working hypothesis of the research is that there exists significant relation between threshold variable and the economic growth. Thus we propose to employ nonlinear mechanism to reveal possible types of mentioned association. Threshold models of TAR and SETAR type are to be used to distinguish: threshold variable(s), the number of states of economic growth, differences in busin...

The purpose of this paper is to evaluate the acceptance and the utilization of GPS/GPRS-based tel... more The purpose of this paper is to evaluate the acceptance and the utilization of GPS/GPRS-based telematics technology in road transport companies registered in Poland. Telematics technologies are essential for management of energy saving and emissions reduction in road transport. It is in line with the European Union policy of sustainable transportation. The evaluation is based on a survey designed and carried out in 2020. The issues concerning the scope of telematics systems utilization as well as the internal and external factors affecting their use are analysed. The methodology is based on Technology Acceptance Model (TAM) and Structural Equation Modelling (SEM). The results are checked for robustness. Based on the results, it can be reasoned that as a result of the COVID19 pandemic, the companies started to use telematics systems more widely than they did before. Furthermore, the companies employing more people recognize the higher usefulness of telematics systems and are motivate...

Informacje o naborze artykułów i zasadach recenzowania znajdują się na stronie internetowej Wydaw... more Informacje o naborze artykułów i zasadach recenzowania znajdują się na stronie internetowej Wydawnictwa www.wydawnictwo.ue.wroc.pl Tytuł dofinansowany ze środków Narodowego Banku Polskiego oraz ze środków Sekcji Klasyfikacji i Analizy Danych PTS Kopiowanie i powielanie w jakiejkolwiek formie wymaga pisemnej zgody Wydawcy

Scientific Papers of Silesian University of Technology. Organization and Management Series

This study evaluates the acceptance of GPS/GPRS-based telematics technology in freight road trans... more This study evaluates the acceptance of GPS/GPRS-based telematics technology in freight road transport companies registered in Poland. Design/methodology/approach: The evaluation is based on a survey of 500 representative road transport companies carried out in 2020. The Technology Acceptance Model was estimated, and its results were checked for robustness. The scope of the information collected in telematics systems is defined in terms of its perceived utility and perceived ease of use at the operational management level. The latent factors affecting technology use are defined and implemented. Findings: Most respondents (80%) claimed that telematics systems had a considerable influence on the effectiveness and efficiency of the whole company's operation. It contributed to a higher number of orders executed per time unit, more effective use of the driver's working time, and increased the entrepreneurs' trust in the company. The companies employing more workers recognize the higher usefulness of telematics systems and are motivated to use the technology more widely than smaller enterprises. TAMs estimated separately for small and medium-sized enterprises did not significantly differ among the parameter estimates. Research limitations/implications: The Technology Acceptance Model is a useful analytical tool for evaluating telematics technology acceptance by the road transport sector. The study is based on a random sample of enterprises observed once in 2020. It is recommended to monitor them in two or three waves to compare the dynamics of the telematics usage process. It is planned to continue the study in that direction. Practical implications: The outcomes are valuable in practice twofold. Firstly, the extension of telematics systems use is interesting for final users, i.e., road transport companies that will find scope for their application. Secondly, the results are helpful for system providers who get knowledge on telematics perception from enterprise management. Originality/value: Although widely applied to other IT systems, the TAM model has not been used to evaluate the use of telematics in road transport companies. The paper justifies TAM's categories at the operational management level in road transport enterprises, contributing to understanding managers' behavioral aspects of decision-making.

Entropy

This paper uses the Extreme Value Theory (EVT) to model the rare events that appear as delivery d... more This paper uses the Extreme Value Theory (EVT) to model the rare events that appear as delivery delays in road transport. Transport delivery delays occur stochastically. Therefore, modeling such events should be done using appropriate tools due to the economic consequences of these extreme events. Additionally, we provide the estimates of the extremal index and the return level with the confidence interval to describe the clustering behavior of rare events in deliveries. The Generalized Extreme Value Distribution (GEV) parameters are estimated using the maximum likelihood method and the penalized maximum likelihood method for better small-sample properties. The findings demonstrate the advantages of EVT-based prediction and its readiness for application.