An Econometrical Analysis of Entrepreneurship Determinants in Polish Voivodeships in the Years 2004–2013
Journal Title: Dynamic Econometric Models - Year 2015, Vol 15, Issue
Abstract
This article presents research results and describes and clarifies differences in a level of the entrepreneurship index observed between Polish voivodeships in the period from 2004 to 2013. The expected results were confirmed with the fixed effect (FE)/random effect (RE) panel data model. The analysis showed that the level of entrepreneurship varies depending on a voivodeship, and that this differentiation is structural and permanent. The applied model also confirmed the expected determinants of entrepreneurship.
Authors and Affiliations
Tomasz Groszkowski
Keywords
Related Articles
- EP ID EP197126
- DOI 10.12775/DEM.2015.008
- Views 60
- Downloads 0
Minimum Variance Portfolio Selection for Large Number of Stocks – Application of Time-Varying Covariance Matrices
An evaluation of the efficiency of different methods of the minimum variance portfolio selection was performed for seventy stocks from the Warsaw Stock Exchange. Eight specifications of multivariate GARCH models and six...
Application of the Family of Sign RCA Models for Obtaining the Selected Risk Measures
Accurate modelling of risk is very important in finance. There are many alternative risk measures, however none of them is dominating. This paper proposes to use the family of Sign RCA models to obtain the Value-at-Risk...
The Impact of Macro News on Volatility of Stock Exchanges
The vast of literature concerning the reaction to macroeconomic announcements focus on American releases and their impact on returns and volatility. We are interested if the news from the German and the Polish economy ar...
Performance of Pension Funds and Stable Growth Open Investment Funds During the Changes in the Polish Retirement System
The conditions of the pension funds (OFE) functioning were essentially changed in the years 2011–2014. The aim of the paper is to find out if these modifications influence the efficiency of the pension funds and to compa...
Risk Modeling of Commodities using CAViaR Models, the Encompassing Method and the Combined Forecasts
The aim of the research is to compare VaR methods/models for commodities. For risk measurement Conditional Autoregressive Value at Risk models (CAViaR), implied quantile model and encompassing method are used. The aim is...