German Emigration and Remigration Panel Study (GERPS) 2019
GESIS, Cologne. ZA7584 Data file Version 1.0.1, https://doi.org/10.4232/1.13943
Abstract: Objective:
The German Emigration and Remigration Panel Study (GERPS) is the data base developed within the project “Individuelle Konsequenzen internationaler Migration im Lebensverlauf” funded by the German Research Foundation (DFG) (project number 345626236). GERPS follows an origin-based sampling approach which allows to study individual consequences of international migrations form a life-course perspective. Apart the migration process and the sociodemographic attributes of international mobiles, the objective of GERPS is to conduct longitudinal data across the four following life domains: ... more Content: 1. Screening module for recording moves since wave 1: move since the last survey; move within the city/municipality, to another city/municipality, (back) to Germany, (back) to the previous country or to another country; time of move; distance of the new dwelling from the old place of residence (open, distance category); reasons for move (e.g., own ... more Methodology
Date(s) of Data Collection: 28.05.2019 - 06.08.2019
Geographic coverage: Germany (DE)
Universe: Emigrants and remigrants with German citizenship aged between 20 and 70 with a documented international migration between July 2017 and June 2018.
Number of Units: 6989
Sampling Procedure: • Probability: Multistage;
Sampling frame/ design (Wave 2)
Participants who (1) were interviewed in wave 1 and (2) consented to future survey invitations in wave 1, net of refusals. Temporal Research Design: Longitudinal: Panel Analysis Unit: Individual Mode of Data Collection: • Self-administered questionnaire: Web-based (CAWI);
Starting with the second wave, GERPS was organised as a ‘web-only’ survey relying on email invitations and reminders and an online survey interface. Only a small subsample without up-to-date and valid email addresses was contacted exclusively by postal mailing. Data Collector: SOKO Institut, Bielefeld
Analysis System(s): SPSS, Stata
Number of Variables: 393
Bibliographic information
Principal Investigator/ Authoring Entity, Institution: Erlinghagen, Marcel - University of Duisburg-Essen | Schneider, Norbert - Federal Institute of Population Research (BiB), Wiesbaden
Publication year: 2022
DOI: 10.4232/1.13943 | 10.4232/1.13751
Study number: ZA7584
Contributor, Institution, Role: Décieux, Jean Philippe - University of Duisburg-Essen - DataCurator | Erlinghagen, Marcel - University of Duisburg-Essen - ProjectLeader | Ette, Andreas - Federal Institute of Population Research - ProjectMember | Genoni, Andreas - Federal Institute of Population Research - ProjectMember | Guedes Auditor, Jean - Federal Institute of Population Rese ... more Publisher: GESIS
Versions
Current Version: 1.0.1, 2022-06-30, https://doi.org/10.4232/1.13943
Version history: ... more Reference publications
Publications: Décieux, Jean Philippe; Witte, Nils; Erlinghagen, Marcel; Ette, Andreas; Genoni, Andreas; Guedes Auditor, Jean; Knirsch, Frederik; Kühne, Simon; Mansfeld, Lisa; Schneider, Norbert F. (2021): German Emigration and Remigration Panel Study (GERPS): Documentation of the Second Wave. BiB Daten- und Methodenberichte 2/2021.
Wiesbaden: Bundesinstitut für ... more Study group: German Emigration and Remigration (GERPS) |
show all hits of the groupThe German Emigration and Remigration Panel Study (GERPS) is the data base developed within the project “Individuelle Konsequenzen internationaler Migration im Lebensverlauf” funded by the German Research Foundation (DFG). GERPS follows an origin-based sampling approach which allows to study individual consequences of international migrations form ... moreGESIS Community Data |
show all hits of the groupGESIS Community Data contains German and international research data that have been specially prepared for secondary analysis and academic teaching. These are studies that have been donated to GESIS by the scientific community and are processed by us in the spirit of open science. The collection constantly expands and contains data from six decades ... more 
