Issue 4 - Volume 64/2016
Within-couple Financial Satisfaction in the Czech Republic: A Test of Income Pooling Hypothesis
Page 301, Issue 4 - Volume 64/2016
This paper uses the national EU-SILC 2013 data to analyse the impact of the distribution of personal income between partners on reported financial well-being of couples in the Czech Republic. It focuses on partners in two life stages: couples raising children and couples with empty nests. On average, women contribute substantially less to the household budget than men and their financial satisfaction is slightly lower. Financial satisfaction of partners with children is not influenced by who brings the income. In a childless household, the higher the woman’s contribution, the lower the man’s satisfaction with the financial situation relatively to hers.
Keywords: financial satisfaction, household economics, income pooling, personal income distribution
JEL Classifications: D13, D31, I31
Public-private Pay Gap in the Czech Republic: Evidence from Quntile Analysis
Page 317, Issue 4 - Volume 64/2016
This article analyses the public-private pay gap in the Czech Republic using quantile (decomposition) regression. Quantile decomposition analysis showed that all along the distribution, public sector employees are better equipped (have better characteristics) but up from lowest decile, they have worse return on them (lower regression coefficients). Overall earnings are better in the public sector in the lower segments of wage distribution, but worse in the upper. This is due to the effect of coefficients that weigh more heavily upon the effect of characteristics up from the fifteenth percentile.
Keywords: public-private pay gap, quantile analysis, discrimination, decomposition, public sector
JEL Classification: J31, J45, J70, C12
Drivers of CO₂ Emissions in the Slovak Economy: The Logarithmic Mean Divisia Index Approach of Decomposition
Page 331, Issue 4 - Volume 64/2016
The paper examines driving forces of CO2 emissions of four sectors of the Slovak economy. Our analysis was based on extended Kaya Identity framework using Logarithmic Mean Divisia Index (LMDI) decomposition technique. We applied chaining analysis for period 1997 – 2012 and examined contributions of six effects. We found the primary mover of CO2 emissions to be energy intensity effect (52%) followed by activity effect 25%) and economy structure effect (16%). The combined contribution of energy mix effect, emission factors effect and population effect reached only approximately 7%, which implies that as much as 93 % CO2 emissions were determined to large extent by exogenous impetuses. Our evidence therefore suggests that the policies aimed at structural changes of economies are the most effective tool to address issue of CO2 emissions.
Keywords: energy policy, CO2 emissions, LMDI, Slovak republic
JEL Classification: P18, Q48
Accuracy of Models Predicting Corporate Bankruptcy in a Selected Industry Branch
Page 353, Issue 4 - Volume 64/2016
The paper's main aim is an accuracy verification of dozens models predicting financial distress. The evaluated models were created in the past in developed countries and especially in transition economies. High probability of bankruptcy does not affect only an ailing enterprise itself but it also influences other business related entities or counterparties and therefore the results provided by models predicting financial distress have their serious usage as scoring models. Models predicting financial distress help the decision making process by predicting future development of selected business entities. Research hypotheses are based on the idea that already existing models predicting financial distress still have enough explanatory power and accuracy for decision making and there is no need for the creation of a new one. The research should answer the question which models should nowadays be recommended the most for practical use. The paper uses for the verification tools such as Type I Error, Type II Error, ROC Curves and related AuROC coefficients.
Keywords: financial distress, bankruptcy models, CZ-NACE 25, Czech Republic
JEL Classification: G30, G33, M20
Spatial Econometric Modelling of Regional Club Convergence in the European Union
Page 367, Issue 4 - Volume 64/2016
This paper focuses on the testing of income convergence of the EU regions using both non-spatial and spatial approaches. The main motivation for this analysis was the fact that the classical income convergence models suffer from a misspecification due to omitted spatial dependence among regions. Our empirical results provide support for the absolute beta-convergence modelling from spatial econometric perspective in our sample of 252 NUTS 2 regions over the period 2000 – 2011. Another serious finding is that the assumption of a single steady-state for all regions often mismatches with the reality. The club spatial beta-convergence models we found to be more appropriate for analysed data.
Keywords: beta-convergence, club convergence, spatial econometric models, NUTS 2 regions
JEL Clasification: C21, R11