2015年-CEPS欧洲政策研究中心_When_do_adults_learn_A_cohort_analysis_of_adult_education_in_Europe_30页_980kb
报告摘要
Summary of "When Do Adults Learn?" – A Cohort Analysis of Adult Education in Europe
Core Content
This paper investigates the timing and patterns of adult learning across different age cohorts in 27 European countries using data from the European Labour Force Survey (EU LFS). The study focuses on two main dimensions: participation in education and training and changes in educational attainment levels (measured by ISCED classification). The aim is to understand how adult learning occurs throughout the life cycle and whether it leads to significant educational upgrades.
Main Points and Findings
1. Timing of Adult Learning
- Peak participation in education and training occurs in the age range of 25–29, consistent with previous studies.
- Participation rates tend to decline with age, but this decline is not uniform across all age groups.
- Older cohorts (over 25–29) show a slower decline or even reversal in participation rates, indicating that adult learning is not strictly limited to early adulthood.
2. Educational Attainment Trends
- Educational attainment also shows an increase with age, particularly in Belgium, Denmark, Norway, and Iceland, where older cohorts achieve the same pace of upgrades as younger ones.
- The generational gap in educational attainment and participation widens from 2000 to 2010, suggesting a growing divergence in skill levels between younger and older cohorts.
3. Country and Regional Differences
- Nordic model: Characterized by high participation in education and training, but lower ISCED upgrades after 25. This may be due to already high educational levels in these countries.
- Central and Eastern European (CEE) model: Shows high ISCED upgrades but lower participation in education and training. This is interpreted as a catching-up effect due to historical suppression of high-skilled labor under the Communist regime.
- Liberal model: Represented by Ireland and the UK, where both participation and educational attainment upgrades are high, indicating a balanced approach to adult learning.
4. Determinants of Adult Learning
- Participation in education and training is influenced by cohort composition, particularly the presence of professionals and technicians.
- Education level is a strong predictor of training participation, as more educated individuals are more likely to engage in further learning.
- Demographic factors such as gender and foreign-born status are less significant once education variables are controlled for.
5. Methodology
- The study uses a synthetic panel analysis of cohort averages from the EU LFS data.
- A least squares dummy variable (LSDV) regression model is employed to account for country and time-specific effects, as well as cohort dynamics.
- The model assumes no intra-class correlation and is suitable for analyzing data with large cohort sizes and sufficient time variation.
Key Information
Data Overview
- The dataset includes 27 European countries, with Iceland, Norway, and Switzerland as EFTA members.
- The sample is restricted to individuals aged 25–64, excluding those still in formal education or military service.
- The EU LFS microdata is used, which provides annual measurements of key variables such as participation in education and training, educational attainment, and demographic characteristics.
Variables Used
| Variable | Description |
|---|---|
| Participation in education or training (EDUC4WN) | Measures participation in education or training over the last four weeks. |
| Highest educational attainment (HATLEV1) | Reflects the highest level of education successfully completed. |
| Age (AGE) | Categorized into five-year age bands. |
| Gender (SEX) | Indicates the percentage of women in the sample. |
| Years of residence (YEARESID) | Measures the percentage of foreign-born individuals in a cohort. |
| Employment Status (ILOSTAT) | Includes categories such as employed, unemployed, inactive, etc. |
| Occupation (ISCO1D) | Reflects the ISCO level of occupation, accounting for sector-specific technological development. |
Empirical Observations
- Participation in education and training increased in most countries over time, counteracting the age-related decline.
- Educational attainment also increased over time, with older cohorts showing significant upgrades in some countries.
- The generational gap widened between 2000 and 2010, particularly for older age groups, suggesting divergence in skill levels across cohorts.
Conclusion
The study concludes that adult learning is not confined to early adulthood but occurs across the life cycle, with participation and attainment both increasing in many countries. The Nordic model emphasizes training participation, while the CEE model focuses on educational upgrading. The liberal model (Ireland and the UK) combines both approaches. These findings highlight the importance of lifelong learning for economic growth and innovation, and suggest that policy interventions should be tailored to the specific characteristics of different countries and cohorts.
试读结束,高清完整版pdf/doc/ppt,请点下载