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Overview of ongoing and completed projects at LIfBi


All publications incl. the LIfBi series "NEPS Survey Paper", "LIfBi Working Paper" and Transfer Reports

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About us

History and Purpose of LIfBi - from the Origin of the National Educational Panel to the Present Day


Overview of all employees of the institute with filter and search function

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News on research, events and developments at LIfBi incl. news archive


Conferences, events and trainings of LIfBi as well as all dates of the institute's own lecture series LIfBi Lectures


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Research Data Center

Information about the FDZ-LIfBi incl. contact form and registration for the newsletter "LIfBi data"

Data and Documentation

To the data of NEPS, ReGES and further studies incl. documentation and variable search

Data Access

Request for access to scientific use files incl. overview of all data use projects


Information on FDZ events, tutorials and help for handling the data incl. online forum

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LIfBi as an Employer

Flexible working and part-time models, equal opportunities and good work-life balance

Further Education, Doctorate, Networks

Offers for all qualification levels and best networking opportunities

Workplace Bamberg

Living and working in the heart of the world heritage city - central location of empirical educational research

Job Offers

All open positions in the areas of research, infrastructure and administration at a glance


5th Workshop on Analysis of Incomplete Data (AID)

In the first session, Professor Dr. Donald B. Rubin from Harvard University gave a talk on “Multiple Imputation after 36+ Years”. He presented six major issues in recent research within the field of multiple imputation. He ended the first session by giving an outlook on topics for future research.

In the second session, recent work in the field of incomplete data techniques was presented covering social network analysis, Bayesian analysis of dynamic factor models, item response models, and incompatible Gibbs sampling, all dealing with problems of missing data.

The last presentation was a conceptual framework for panel data imputation methods. Susanne Rässler and Donald B. Rubin held a lively discussion with the approximately 40 participants about the different approaches presented dealing with missing survey data.

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