Marinko Škare

Bio: Marinko Škare is an academic researcher from Juraj Dobrila University of Pula. The author has contributed to research in topics: Business & Economics. The author has an hindex of 15, co-authored 130 publications receiving 907 citations.

A bibliometric analysis of Economic Research-Ekonomska Istraživanja (2007–2019)

Abstract: Economic Research-Ekonomska Istraživanja is an international journal in the research field of business and economics and firstly published in 2007. In this paper, we make a bibliometric analysis of...

Corporate Social Responsibility and Corporate Financial Performance – Is There A Link?

Abstract: The “business as usual” model is no longer possible. Globalization, technological and demographical changes have lead to the change in the internal organization structures, processes and behaviour. Environmental, social and governance issues are becoming extremely powerful means of gaining competitive advantage on the global market. The purpose of the paper is to underline the importance of socially responsible business practices for the corporation. In order to emphasize the importance of socially responsible behaviour with regards to financial performance, the research was enriched with of the comparative analysis of the financial performances of 45 corporations listed on Dow Jones Sustainability World Index 2009/2010 that represent the top 10% of the leading sustainability companies out of the biggest 2500 companies in the Dow Jones Global Total Stock Market Index compared with non CSR corporations – not listed on DJSWI. Authors are presenting results of the econometric model which further conf...

Forecasting, Structural Time Series Models and the Kalman Filter

Abstract: In this book, Andrew Harvey sets out to provide a unified and comprehensive theory of structural time series models. Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends and seasonals, which have a direct interpretation. As a result the model selection methodology associated with structural models is much closer to econometric methodology. The link with econometrics is made even closer by the natural way in which the models can be extended to include explanatory variables and to cope with multivariate time series. From the technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. The book includes a detailed treatment of the Kalman filter. This technique was originally developed in control engineering, but is becoming increasingly important in fields such as economics and operations research. This book is concerned primarily with modelling economic and social time series, and with addressing the special problems which the treatment of such series poses. The properties of the models and the methodological techniques used to select them are illustrated with various applications. These range from the modellling of trends and cycles in US macroeconomic time series to to an evaluation of the effects of seat belt legislation in the UK.

Economic growth and income inequality

Abstract: We investigate whether income inequality affects subsequent growth in a cross-country sample for 1965-90, using the models of Barro (1997), Bleaney and Nishiyama (2002) and Sachs and Warner (1997), with negative results. We then investigate the evolution of income inequality over the same period and its correlation with growth. The dominating feature is inequality convergence across countries. This convergence has been significantly faster amongst developed countries. Growth does not appear to influence the evolution of inequality over time. Outline