Expert workshop ‘Comparative analysis of longitudinal data on educational outcomes’

About

Educational outcomes are crucial for social participation and labor market opportunities. To develop strategies to improve people’s social and economic prospects, governments are increasingly interested in international comparisons of educational opportunities and outcomes. The workshop ‘Comparative Analysis of Longitudinal Data on Educational Outcomes’ aims to describe and discuss educational transitions and outcomes in Europe across the life course. To evaluate educational outcomes in different educational systems, this workshop focuses on the use of various longitudinal datasets, which are key in going beyond merely descriptive approaches and getting closer to causal analysis. Contributions with a focus on comparability of longitudinal datasets, statistical methods for harmonizing longitudinal datasets, and comparative analysis of longitudinal educational trajectories are especially welcome.

Course leader

German Institute for Economic Research (DIW Berlin)

Target group

The expert workshop is primarily aimed at experienced researchers, but is also open to policy makers and other academics and data users.

Applicants are expected to submit the application form by 25 August 2019 with a paper or extended abstract, short motivation letter, and CV. Applicants should be prepared to give a presentation related to their current work during one of the sessions. All applicants will be informed of whether their applications have been accepted in September.

Participants will be expected to complete a template (questionnaire) in advance. It will be sent out in September / October and will include general questions about the applicant’s research and variables used in the dataset(s). The information will be used to create an overview of different datasets that focus on educational outcomes in Europe.

Course aim

This expert workshop is targeted at experienced researchers. It is also open to other academics, policy professionals, and data users, and will provide participants with opportunities to discuss their projects and to network with international experts and colleagues in the field.