C23 - Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal ModelsReturn

In this paper, we examined the relationship of sports performance and revenue generation in the English Premier League (EPL) to understand how performance on the field impacts financial performance of professional football clubs. Further, we verified if increased wage expenses help improve sports performance. Independent dynamic models were estimated by GMM on panel data including N = 28 EPL teams and on a reduced data set excluding the top six teams (N = 22), spanning from the 2008/2009 to 2018/2019 seasons (T = 11). The results of the GMM models confirmed that sports performance and revenue generation significantly correlate. Teams with better sports performance do generate higher revenues. Additionally, higher wage expenses result in better sports performance. A positive relationship of the variables in both hypotheses were established in both directions (full data). In all analyses of reduced data, the parameters of interest are nonsignificant. Dependencies exist due to the top teams.

This paper investigates the mechanism of a financial accelerator. In particular, it examines the procyclicality of credit margins in Europe after the financial crisis, with an additional split into small, medium and large-sized banks. The empirical analysis is in contrast with contemporary authors because it approves that the financial accelerator is not present on the European market after the financial crisis. It could be caused by multiple factors, for example structural changes during the financial crisis, a change in the behaviour of commercial banks or extremely low interest rates. We tested our hypothesis on a dataset that consists of a data panel with annual data for the period 1998-2015 and includes 2,489 banks from 36 European countries from the Bankscope database. We also provide robust empirical proof that such behaviour was not occurring during the financial crisis or after the financial crisis in the European banking system.

I apply interest rate rules, especially the Taylor rule, to identify basic determinants of the central banks' decision-making process. The results confirmed herding behaviour related to the central bank financial assets and its economic power in the US and Eurozone. The conclusions are discussed in relation to the exchange rate movements and capital flows. The empirical strategy reflects different lag structure and employs autoregressive distributed lag models.

The aim of this paper is to assess the influence of investment incentives on development of regional unemployment in the Czech Republic and with proposal of recommendations related to utilization of investment incentives as an instrument for promoting employment and development of regions as well as for reduction of differences in economic activity of regions. Time series from 1998 to 2014 were used to solve the problem when regional unemployment was chosen as a dependent variable, for which econometric model was created using panel regression and including investment incentives. Results of testing prove that investment incentives have positive and statistically significant influence on regional employment.