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1.
Regression analysis of variables describing poultry meat supply in European countries
Miro Simonič, Ksenija Dumičić, Gabrijel Devetak, 2012, izvirni znanstveni članek

Opis: In this paper, based on the analysis of official FAOSTAT and EUROSTAT data on poultry meat for 38 European countries for years 2007 and 2009, two hypotheses were examined. Firstly, considering four clustering variables on poultry meat, i.e. production, export and import in kg/capita, as well as the producer price in US $/t, using descriptive exploratory and cluster analysis, the hypothesis that the clusters of countries may be recognized was confirmed. As a result six clusters of similar countries were distinguished. Secondly, based on multiple regression analysis, this paper proofs that there exists the statistically significant relationship of poultry meat production on export and import of that kind of meat, all measured in kg/capita. There is also a high correlation between production, as a dependent, and each of two independent variables.
Ključne besede: poultry meat, marketing strategy, cluster analysis, correlation, multiple regression
Objavljeno: 10.07.2015; Ogledov: 484; Prenosov: 155
.pdf Celotno besedilo (780,46 KB)
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2.
The panel VAR approach to modelling the housing wealth effect
Anita Čeh Časni, Ksenija Dumičić, Josip Tica, 2016, izvirni znanstveni članek

Opis: Following Friedman’s permanent income hypothesis and Ando and Modigliani’s lifecycle hypothesis, this paper empirically studies the role of house prices and income in determining the dynamic behaviour of consumption in selected European post-transition economies using the panel vector autoregression (PVAR) approach and quarterly data covering the period from the first quarter of 2002 until the second quarter of 2012. With the shocks being recognized using the customary recursive identification scheme, we found that the response of personal consumption to the housing wealth shock is initially positive, but short lived.
Ključne besede: consumption, housing wealth effect, house prices, panel vector autoregression, European emerging markets
Objavljeno: 03.05.2018; Ogledov: 164; Prenosov: 28
.pdf Celotno besedilo (332,43 KB)
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3.
Analysis of personal income taxation determinants in Croatia in long run
Irena Palić, Ksenija Dumičić, Barbara Grofelnik, 2017, izvirni znanstveni članek

Opis: Personal income taxation remains an ongoing issue in Croatia. It is used as an important instrument of income redistribution. Moreover, it directly affects purchasing power of the working population. Numerous changes have been made in this type of taxation since the establishment of Croatian tax system. The aim of this paper is to analyse possible determinants of personal income taxation in Croatia. After offering brief insight into public finance theory regarding personal income taxation, the structure of personal income taxation in Croatia is explained. The empirical analysis of the determinants of personal income taxation in Croatia is conducted using cointegration analysis. Economic conditions, average monthly wage, and number of taxpayers are used as determinants of personal income tax used in this research. The cointegration analysis is conducted using monthly data from January 2008 to February 2016. The results of the research show a statistically significant negative impact of economic conditions and statistically significant positive impact of average monthly wage and number of taxpayers on personal income taxation in long run, what is in line with economic and public finance theory.
Ključne besede: personal income taxation determinants, economic conditions, wages, number of taxpayers, johansen cointegration approach, Croatia
Objavljeno: 03.05.2018; Ogledov: 216; Prenosov: 40
.pdf Celotno besedilo (361,99 KB)
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4.
Statistical analysis of the development indicators' impacts on e-commerce of individuals in selected European countries
Ksenija Dumičić, Ivana Skoko Bonić, Berislav Žmuk, 2018, izvirni znanstveni članek

Opis: The aim of this paper is to analyse the influence of the development level indicators on the e-commerce, i.e. on the online purchase by individuals, in selected European countries in 2013. In the analysis, the main variable under study and all the independent variables are included as standardised. Based on nine variables, the principal component analysis with varimax rotation was performed and the two extracted factors were used as the regressors in the multiple regression analysis. In the regression model both components, Factor 1, which includes seven variables, called Prosperity, Investing in Education and IT Infrastructure, and Awareness, and Factor 2, comprised of two variables, called IT Skills, are statistically significant at the significance level of 1%. Both factors show a positive correlation with the online purchase of individuals. Inclusion and analysis of distributions and impacts of even nine independent variables, which make up two distinct factors affecting the e-commerce, make a new contribution of this work.
Ključne besede: e-commerce, broadband access to the Internet, factor analysis, multiple regression analysis
Objavljeno: 10.10.2018; Ogledov: 250; Prenosov: 131
.pdf Celotno besedilo (343,31 KB)
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