Department of Economics and Economic History and IME, Faculty of Economics and Business, University of Salamanca, Campus Miguel de Unamuno (Edif. F.E.S.), 37007 Salamanca, Spain
Dr. Javier Perote
Department of Economics and Economic History and IME, Faculty of Economics and Business, University of Salamanca, Campus Miguel de Unamuno (Edif. F.E.S.), 37007 Salamanca, Spain
Different economic studies have been concentrated on specific and/or isolated factors to explain public debt evolution. In this article we have developed an integrated viewpoint based on financial, social and governance or institutional factors. Under our dynamic econometric assessment for the last two decades (i.e., since the Euro currency inception), economic growth, interest rate, life expectancy at birth, unemployment, government effectiveness and the last sovereign debt crisis have resulted as being the major determinants of its evolution. Public debt sustainability must be assessed continuously with the aim to discuss technical recommendations to maintain it at an even rate, to allow sustainable economic growth and better life standards, in the context of life expectancy increasing and stable governance and institutional conditions. Undoubtedly, the Covid-19 pandemic leads more damaged Eurozone countries with negative real economic growth and high unemployment rates to increase dramatically their current public debts, to such an extent that they could fall into unsustainable paths. Therefore, substantial reforms in European pension and unemployment insurance systems are necessary conditions to ensure public debt sustainability amid Covid-19 pandemic.
The Edgeworth—Sargan density has been shown capable of capturing salient empirical regularities of financial data in some studies. The main purpose of the reported study is to compare its performance with other densities, most notably to the Student t. Both densities can account for thick tails, and asymmetry One important by product of the comparison is to test the existence of moments. The comparison of densities is carried out with daily financial observations, spanning 25 years of data from two major world stock markets. Attention is paid to the fitting of other empirical regularities, and especially to the peak, frequently found at the middle of the densities.