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.

Agricultural and Rural Labour Markets in the EU Candidate Countries of Croatia, Former Yugoslav Republic of Macedonia and Turkey. Factor Markets Working Paper No. 6, September 2011

This paper provides an overview and comparison of labour markets in agricultural and rural areas in the three candidate countries for the EU membership: Croatia, the Former Yugoslav Republic of Macedonia and Turkey. We analyse and compare the labour market structures and the factors driving them. The analyses are based on the available cross-section and time-series data on agricultural labour structures and living conditions in rural areas. Considerable differences are found among the candidate countries in the importance of the agricultural labour force, between rural and urban labour, and in poverty and living conditions in rural areas. Agricultural and rural labour market structures are the result of demographic and education processes, in addition to labour flows between agricultural and non-agricultural activities, from rural areas to urban ones and migration flows abroad. Declines in the agricultural labour force and rural population are foreseen for each of the candidate countries, but with significant variations between them. Showing different patterns over time, labour market developments in the sector and rural areas have been shaped by the overall labour market institutions, conditions and other factors in each country, such as the legal basis, educational attainment and migration flows, as well as the presence of non-agricultural activities in rural areas.

Family Types and the Persistence of Regional Disparities in Europe. Bruges European Economic Research (BEER) Papers 10/March 2007

This paper examines the association between one of the most basic institutional forms, the family, and a series of demographic, educational, social, and economic indicators across regions in Europe. Using Emmanuel Todd’s classification of medieval European family systems, we identify potential links between family types and regional disparities in household size, educational attainment, social capital, labour participation, sectoral structure, wealth, and inequality. The results indicate that medieval family structures seem to have influenced European regional disparities in virtually every indicator considered. That these links remain, despite the influence of the modern state and population migration, suggests that either such structures are extremely resilient or else they have in the past been internalised within other social and economic institutions as they developed.

Inequality in the Southern Mediterranean: A survey of selected countries. MEDPRO Technical Report No. 23/December 2012

This paper addresses the issues of current levels of inequality: their trends, determinants and future scenarios, demonstrating that welfare levels are measured by per capita consumption. Location, educational attainment and employment status have been identified as the key factors affecting levels of welfare and its distribution. A benefit incidence analysis was performed to investigate benefits of different deciles of per capita expenditure from education and health services. The inequality patterns in countries under investigation present significant variations; countries such as Turkey, Morocco and Tunisia show relatively high inequality while others, such as Egypt or Syria, show moderate to low inequality. Inequality in human development was addressed using the inequality-adjusted human development index (IHDI), introduced by Global HDR 2010. The average loss in the HDI due to inequality in all Arab countries under investigation is about 20%. Two reference scenarios (optimistic and pessimistic) were used to project future paths up to 2020 and 2030. The impact of positive growth is increasing inequality and a shrinking middle class. Results show that the rich benefit most from this growth path. The opposite trend is observed for the pessimistic scenario.

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.

Students in Work and their Impact on the Labour Market. CEPS Working Document No. 410/July 2015

The purpose of this study is to evaluate the size and composition of the student labour force in order to consider its potential impact on labour markets in the European Union. The paper is based on an analysis of EU Labour Force Survey data from 2011, supplemented by the findings of the EUROSTUDENT project. The structure of student labour is discussed within the framework of the so-called ‘crowding-out’ literature, which identifies competition for jobs between students and low educated non-students, particularly in the retail and wholesale sectors. In contrast to these assumptions, the authors found that, depending on the age of the student, the profile of student workers closely matches that of non-students with medium- to-high educational attainment. In general, the retail and wholesale sectors are of importance in the employment of students under the age of 25, but students typically take positions in the middle of the occupational hierarchy, rather than in the lower-grade positions. Meanwhile, older students, often professionals furthering their education while studying, are typically located in similar jobs and sectors to university graduates. A common trait of student work is its very high degree of flexibility compared to that of non-students. Nevertheless, the structure of student labour does not lead us to believe that student workers are particularly prone to be present in the precarious segment of the labour market.