Authors:Marinko Škare, Manuel Benazić, and Daniel Tomić
Breitung , J.
( 2000 ): T he Local Power of Some Unit Root Tests for PanelData . In: Baltagi , D. (ed.): Nonstationary Panels, Panel Cointegration, and Dynamic Panels, Advances in Econometrics . Elsevier Science Inc., pp. 161 – 178
Authors:Zsuzsanna Banász and Vivien Valéria Csányi
Education is one of the key factors of economic growth. Despite the huge amount of researches investigating the relationship between education and GDP as a proxy of well-being, to the best of our knowledge, none of these studies examined a group of post-socialist countries comparing with not-post-socialist countries. This paper aims to fill this gap. We examine the correlation between growth and education with panel data evidence for 18 post-socialist (PS) countries and 16 developed market economies (DME) over the 1990–2014 period. The goal of this paper is to test two hypotheses: (i) The relationship between GDP per capita and tertiary education’s enrolment rate is stronger in the post-socialist countries than in other countries. (ii) In the post-socialist countries, the relationship between GDP per capita and tertiary education’s enrolment rate is stronger than the relationship between GDP per capita and any other level of education. Correlation analyses confirmed both hypotheses. Our findings suggest that the patterns of relationship between GDP and measures of tertiary education are different for PS and DME countries and would be interesting to observe when and how the gap between the patterns disappears.
The aim of the paper is to estimate cost efficiency and its determinants of the Czech and Slovak commercial banks within the period of 2005–2015. In this paper two-stage Data Envelopment Analysis (DEA) is used. In the first stage, I estimate the relative cost efficiency applying the input-oriented model with variable return to scale and find that the Czech banks were more cost efficient than the Slovak banks. The main reason of cost inefficiency is the excess of clients' deposits in the banks' balance sheet. In the second stage, I use the panel data analysis and estimate the determinants of cost efficiency in the two countries. I choose 8 bank-specific and macroeconomic factors that influence cost efficiency. The results show that the larger banks with higher liquidity risk and with a lower value of the net interest margin were more efficient. It confirms the reason of inefficiency determined from the DEA model. Banks were highly cost efficient during the economic expansion with a lower value of the inflation rate.
Authors:Alberto Bagnai and Christian Alexander Mongeau Ospina
Judson , R. – Owen , A. L. ( 1997 ): Estimating Dynamic PanelData Models: A Practical Guide for Macroeconomists . Finance and Economics Discussion