Differences in the prices of physical ETF’s and synthetic ETF’s

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Public funding of higher education: who gains, who loses?

This paper analyses the effects of public funding of higher education on the welfare of the different agents. It takes into account the hierarchical nature of the educational system and also the fact that parents always have the possibility to complement basic public education with private expenditures in individual tutoring. It is obtained that although public funding implies a larger access to higher education it is always the case that some of the agents that gain access lose in welfare terms. Moreover, it is shown that the marginal agent to access university would always prefer a pure private funding system. Thus, when studying the effects of public funding of higher education, we can not identify gaining access to University with an increase in welfare. Finally, I consider a funding system where only those that send their o¤spring to university support the funding of higher education.

Socio-demographic correlates of physical activity of European adults: A cross-sectional study from the European Social Survey

ABSTRACT - Background: From a public health perspective, the study of socio-demographic factors related to physical activity is important in order to identify subgroups for intervention programs. Purpose: This study also aimed to identify the prevalence and the socio-demographic correlates related with the achievement of recommended physical activity levels. Methods: Using data from the European Social Survey round 6, physical activity and socio-demographic characteristics were collected from 39278 European adults (18271 men, 21006 women), aged 18-64 years, from 28 countries in 2012. Meeting physical activity guidelines was assessed using World Health Organization criteria. Results: 64.50% (63.36% men, 66.49% women) attained physical activity recommended levels. The likelihood of attaining physical activity recommendations was higher in age group of 55-64 years (men: OR=1.22, p<0.05; women: OR=1.66, p<0.001), among those who had completed high school (men: OR=1.28, p<0.01; women: OR=1.26, p<0.05), among those who lived in rural areas (men: OR=1.20, p<0.001; women: OR=1.10, p<0.05), and among those who had 3 or more people living at home (men: OR=1.40, p<0.001; women: OR=1.43, p<0.001). On the other hand, attaining physical activity recommendations was negatively associated with being unemployed (men: OR=0.70, p<0.001; women: OR=0.87, p<0.05), being a student (men: OR=0.56, p<0.001; women: OR=0.64, p<0.01), being a retired person (men: OR=0.86, p<0.05) and with having a higher household income (OR=0.80, p<0.001; women: OR=0.81, p<0.01). Conclusion: This research helped clarify that, as the promotion of physical activity is critical to sustain health and prevent disease, socio-demographic factors are important to consider when planning the increase of physical activity.