Increasing life expectancy at birth is a huge achievement for a society; however it also brings many challenges and requires a society to constantly adapt to demographic consequences. In our research, we investigate life expectancy determinants and the role of a country's education level among them. Using multiple regression analysis on cross-section data of 187 countries around the world we confirm our main research thesis that a country's education level is an important determinant of life expectancy at birth and three separate hypotheses regarding life expectancy determinants. The main contribution of this research is the empirically tested regression model of life expectancy determinants. The results of the research confirm a strong importance of a country's education level and imply that societies should encourage education among young people as well as education of adults through lifelong learning programmes.

Purpose: The purpose of the research is to investigate impact of population ageing on unemployment and entrepreneurial activity in Slovenia since it is one of the topical issues in an ageing Europe and has many implications for economic and non-economic welfare. Design and Methodology: First, we introduce the phenomenon of population ageing and provide some literature review on population ageing impact on unemployment and entrepreneurial activity. Second, we employ multiple regression analysis on cross-section data for Slovenian municipalities. We use secondary data collected from databases of Statistical Office of Republic of Slovenia and Employment Service of Slovenia on demographic and economic variables by 210 municipalities for the year 2009. Results: The regression analysis results confirm our first hypothesis: municipalities with higher ageing index and higher average age also have higher registered unemployment rate. If ageing index (average age) is higher by 1 %, the registered unemployment rate is higher on average by 0.532 % to 0.670 % (by 2.431 % to 3.379 %), ceteris paribus. Our regression analysis also confirms our second hypothesis: municipalities with higher average age also have lower number of enterprises per 100 population. If average age is higher by 1% (by 1 year), the number of enterprises per 100 population is lower on average by 1.7 % (by 0.182 enterprises), ceteris paribus. Conclusion: We may conclude that population ageing without properly addressing it, consequently leads into lower economic welfare. That additionally highlights the importance of a proper demographic and social policy when governing labour market policy.

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In this paper we analyse the undergraduate and postgraduate higher education participation determinants in placecountry-regionSlovenia. Using a micro-level probit analysis we …nd the most important statistically signi…cant higher education participation determinants in placecountryregionSlovenia, and the most important di¤ erences between the determinants on the undergraduate and on the postgraduate level. We use the Slovenian statistical Household Budget Surveys (HBS) data for the reference years from 1998 to 2005. The HBS covers private households in placecountry-regionSlovenia with the basic socio and demographic data for the household members observed within the surveys, data on income, assets and …nal consumption. In the probit analysis we focus on the determinants of the undergraduate and postgraduate higher education participation separately for di¤ erent age groups. Based on the results of the three probit models we …nd six di¤ erent determinants of the undergraduate higher education participation. The …rst two most important determinants are the availability of internet access in a household and education of parents. On the postgraduate level of education we also …nd six important determinants of higher education participation, with the …rst most important being the availability of information-communication technology, followed by the personal income.