Comparative regional perspectives: the Bologna process and higher education attainment. Jean Monnet/Robert Schumann Paper Series Vol 13 No. 11, August 2013

Since 1999, countries have voluntarily chosen to reform their higher education systems to join the European Higher Education Area. This paper compares Bologna Process implementation across four regions within the European Union. While there are 47 countries participating in the Bologna Process, this paper uses statistical analysis to consider 25 of the 28 EU Member States. The time period of analysis is 2000-2011, prior to Croatia’s accession to the EU on 1 July 2013. Across Europe there are inter-regional differences in how the Bologna Process has been implemented and in the political economy contexts that influence higher education reform for policy convergence. There are three explanatory variables in the political economy context: 1. competitive economic pressures and globalization 2. domestic politics at the national level 3. leadership from the supranational European Union that socially constructs regional norms Tertiary education attainment is the dependent variable of interest in this research. The objective of 40%, for 30-34 year olds, is Europe 2020 benchmark target. There are additional higher education reform criteria encompassed in the Bologna Process. These criteria concern Credit and Degree Structure, Quality Assurance, and Recognition of academic degrees among countries in the EHEA. This tertiary education attainment variable, which is of interest in this paper, does not capture the entire implementation process. Nevertheless, it is a measure of one important indicator of success in providing higher education access to populations within the context of democratic governance. This research finds that statistically GDP Per Capita is the most significant variable in relationship to tertiary education attainment across four regional areas in the European Union.

Does the growth in higher education mean a decline in the quality of degrees? CEPS Working Document No. 405/March 2015

In this paper the authors construct a theory about how the expansion of higher education could be associated with several factors that indicate a decline in the quality of degrees. They assume that the expansion of tertiary education takes place through three channels, and show how these channels are likely to reduce average study time, lower academic requirements and average wages, and inflate grades. First, universities have an incentive to increase their student body through public and private funding schemes beyond a level at which they can keep their academic requirements high. Second, due to skill-biased technological change, employers have an incentive to recruit staff with a higher education degree. Third, students have an incentive to acquire a college degree due to employers’ preferences for such qualifications; the university application procedures; and through the growing social value placed on education. The authors develop a parsimonious dynamic model in which a student, a college and an employer repeatedly make decisions about requirement levels, performance and wage levels. Their model shows that if i) universities have the incentive to decrease entrance requirements, ii) employers are more likely to employ staff with a higher education degree and iii) all types of students enrol in colleges, the final grade will not necessarily induce weaker students to study more to catch up with more able students. In order to re-establish a quality-guarantee mechanism, entrance requirements should be set at a higher level.

How returns from tertiary education differ by field of study. Implications for policy-makers and students. CEPS Working Document No. 411/July 2015

With the huge growth in enrolment in higher education, the key question facing young people today is not so much “what to study” as “whether to study”. Taking a methodologically innovative approach, this paper measures the net present value of university education and compares returns from studying a range of different subjects. We use data from 5 European countries (France, Italy, Hungary, Poland and Slovenia) and include (opportunity) costs in the computation. Results suggest that enrolling in science, technology, engineering and mathematics (STEM) courses is often not the best investment for students, especially female students. In choosing what to study, therefore, students are taking decisions that are consistent with their own private returns. This suggests that policymakers should consider changing the incentives offered if they wish to change students’ behaviour.

Federal States, Industries and Education Level – Effects of TTIP in Germany. Policy Brief #2013/05

A purely microeconomic perspective shows that all major industries and states would benefit from a transatlantic trade and investment partnership (TTIP). The greatest manufacturing and employment effects would be seen in the electronics industry as well as metal processing. Baden-Württemberg, Bavaria and North Rhine-Westphalia would benefit most from this. Furthermore, it becomes apparent that new jobs would be created for all education groups – even for relatively unskilled workers. Their real income could increase even more than that of highly qualified workers.

When do adults learn? A cohort analysis of adult education in Europe. CEPS Working Document No. 383, 21 May 2013

Adult learning is seen as a key factor for enhancing employment, innovation and growth, and it should concern all age cohorts. The aim of this paper is to understand the points in the life cycle at which adult learning takes place and whether it leads to reaching a medium or high level of educational attainment. To this end we perform a synthetic panel analysis of adult learning for cohorts aged 25 to 64 in 27 European countries using the European Labour Force Survey. We find, as previous results suggest, that a rise in educational attainment as well as participation in education and training happens mostly at the age range of 25-29. However, investment across the life cycle by cohorts older than 25 still occurs: in most countries in our sample, participation in education and training as well as educational attainment increases observably across all cohorts. We also find that the decline with age slows down or is even reversed for older cohorts, for both participation in education and educational attainment. Finally, we can identify a Nordic model in which adult learning is achieved through participation in education and training, a Central European model in which adult learning occurs in the form of increasing educational attainment and a liberal model in which both approaches to adult learning are observable.

Society's level of literacy: A cross cultural study. ACES Working Papers No. 4, 2008

In this study, the relationship between the country's level of literacy and its national culture will be explored. Cultural differences effect the way that people think and react. Culture is "the value shared amongst distinctive social groups and classes" (Soley and Pandya 2003, 206). House, et al. (2004, 57) define culture as "shared motives, values, beliefs, identities, and interpretations or meanings of significant events that result from common experiences of members of collectives and are transmitted across age generations." Dutch anthropologist Geert Hofstede (1991) considers culture to be "the collective programming of the mind. Culture is a stem of collectively held values" (Hofstede 1981, p. 240).

Extending Working Lives: A comparative analysis of how governments influence lifelong learning, CEPS Special Report No. 111, July 2015

This report offers a comparative policy study on adult learning within the scope of complementary research conducted by Beblavý et al. (2013) on how people upgrade their skills during their adult lifetimes. To achieve our objectives, we identified regulatory policies and financial support in 11 countries for two main categories of learning: formal higher education and employer-based training. Drawing upon the results of the country reports carried out by our partners in the MoPAct project, we found that in none of the countries examined is there an ‘older student’ policy. In most cases grants and financial support are awarded only up until a certain age. In all of the countries studied, standard undergraduate and post-graduate studies are available for part-time students. The distribution of full-time students and part-time students in tertiary education varies from one country to another as well as from one age group to another. The participation in full-time tertiary education programmes decreases with the age of students. In Lithuania, Latvia, Poland and the UK, there are no mandatory policies to ensure employer-based training. However, in Belgium, Czech Republic, Denmark, Estonia, Germany, Italy, the Netherlands and Spain, employer-based training is more clearly regulated and the employers might have obligations to provide training for their staff. Taking into consideration Beblavý et al. (2013), we observe that comparative differences across countries can be related to policy differences only in some cases. The policy framework seems to impact more the employer-based training than the educational attainment (upgrade of ISCED level). In Denmark, the Netherlands, Latvia, Lithuania, Czech Republic and Poland, we find a perfect match between policy outcomes and the results of Beblavý et al. (2013) related to employer-based training. This is not the case in the United Kingdom, where the two aspects observed are not correlated.