Surveying Lifelong Learning in the German National Educational Panel Study
| Author | Marie‐Christine Laible,Basha Vicari,Annette Trahms,Silke Anger |
| DOI | http://doi.org/10.1111/1467-8462.12332 |
| Published date | 01 September 2019 |
| Date | 01 September 2019 |
The Australian Economic Review, vol. 52, no. 3, pp. 353–362 DOI: 10.1111/1467-8462.12332
Data Survey
Surveying Lifelong Learning in the German National
Educational Panel Study
Silke Anger, Marie‐Christine Laible, Annette Trahms and Basha Vicari*
Abstract
This article outlines the German National
Educational Panel Study, which collects
comprehensive data on lifelong learning in a
multi‐cohort sequence design, covering early
childhood, childhood, adolescence, young
adulthood and adulthood. It outlines data
collection for all the cohorts and educational
phases across the life course whilst focusing
on the educational stage ‘Adult Education and
Lifelong Learning’. Data can be accessed for
academic purposes as scientific use files under
data contract.
1. Introduction
The German National Educational Panel
Study (NEPS) started in 2009 with the
core objective of collecting and providing
representative data on complete educational
biographies and, for adult individuals, em-
ployment histories (Blossfeld, Rossbach and
von Maurice, 2011; Blossfeld and Rossbach,
2019). This involves the collection of detailed
longitudinal data on educational processes
across the lifespan: from newborn infants to
retirees. This new data collection was devel-
oped to deepen the understanding of educa-
tional decisions, to observe the development
of specific competences over time and to
describe the consequences of educational
acquisition for an individual’s life course in
detail. In particular, the NEPS aims to fill the
gap in the availability of representative, large‐
scale studies that observe relevant factors in
the decision‐making processes at critical
transitions of the educational career. It there-
fore covers the lifelong acquisition of compe-
tences, starting from learning in the family, in
kindergarten, in school, at college, in voca-
tional training and during further training in
the workplace and beyond. Moreover, the
NEPS covers both individual and contextual
factors, as it combines data collected from
children, their parents, caregivers, teachers
and principals, with institutional information
on kindergartens, schools and colleges.
The purpose of this article is to provide
education researchers, economists and social
scientists with an overview of the NEPS.
* Anger: Institute for Employment Research (IAB),
Research Department Education, Training, and Employment
Over the Life Course, Nuremberg, Germany; Otto‐Friedrich‐
Universität Bamberg, Faculty of Social Sciences, Economics,
and Business Administration, Bamberg, Germany; Institute
for the Study of Labor (IZA), Bonn, Germany; Laible,
Trahms and Vicari: Institute for Employment Research
(IAB), Research Department Education, Training, and
Employment Over the Life Course, Nuremberg, Germany.
Corresponding author: Anger, email <silke.anger@iab.de>.
The authors would like to thank John Haisken‐DeNew for
encouraging this overview for the Australian research
community, and for invaluable help in developing this article
and providing information on the Australian data.
© 2019 The Authors. The Australian Economic Review published by John Wiley & Sons Australia, Ltd on behalf of The University of
Melbourne, Melbourne Institute: Applied Economic & Social Research, Faculty of Business and Economics
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and
reproduction in any medium, provided the original work is properly cited.
Get this document and AI-powered insights with a free trial of vLex and Vincent AI
Get Started for FreeUnlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations