Suchergebnisse

The master's degree program is the third level of higher professional education and is available after obtaining a bachelor's or specialist's degree. It provides an opportunity to gain deeper knowledge in a specific field and can be useful for a successful career in many areas of activity, as well as opens the way to scientific and teaching activities. Awareness of the importance of obtaining a master's degree by a University graduate largely depends on their expectations about possible career growth and the level of future income. Therefore, the question of a quantitative a priori assessment of the impact of the master's degree on the level of wages, taking into account the available alternatives, seems relevant. The article considers the impact of master's education on the salary level for the period from 2014 to 2018, and calculates a quantitative a priori assessment of this impact, taking into account certain factors such as the federal district of residence, age, etc. The study was based on data from the Russian monitoring of the economic situation and health of the population of the HSE - RLMS for the period 2014-2018. It showed that successful completion of a master's degree directly affects the level of wages. Also, the master's program has a small but positive time effect and has the greatest impact on wages in technologically and socially developed Federal districts. The main contribution of the work to the knowledge of the subject of research was a comprehensive study of the position of master's education, as well as determining its impact on wages, with the calculation of a quantitative a priori assessment in various simulated situations.

The work is aimed at modelling and analyzing joint behavior of currency exchange rates in 3 developing European countries – the Check Republic, Hungary, and Poland with the use of Copula functions. The study focuses only on internal relations with no consideration for any additional (external) factors. When building the models, several elliptic and Archimedean Copula families were estimated, and pair-Copula (vine) constructions of different families were considered. The work reveals the most appropriate in terms of consistency to the available data model based on the multivariate elliptical Student Copula. The work estimates the parameters of inherent interconnection narrowness of the currency rates under study based on the selected model built on the daily data in relation to RUB over the period 2007–2017. Besides, the paper considers two approaches to interval forecasting – with the use of correlated multiplier function and wave function which accounts the most likely value range as of the given date. The time-horizon of the study was 30 days. In the conclusion of the work, a comparative analysis of the proposed approaches was carried out, and the comparison was made between the forecasts and actual figures.

This study estimates the relationship between school quality and housing prices in the regional centre of Russia using the case of Novosibirsk. We obtained a valuation of public response on school quality using "discontinuity design" approach. Results show that urban housing the case prices are affected by the quality of the assigned school and magnitude of this impact corresponds with the results of various researches in this area.