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See detailGerman Emigration and Remigration Panel Study (GERPS): Methodology and Data Manual of the Baseline Survey (Wave 1)
Ette, Andreas; Decieux, Jean Philippe Pierre UL; Erlinghagen, Marcel et al

Report (2020)

International migration between economically highly developed countries is a central component of global migration flows. Still, surprisingly little is known about the international mobility of the ... [more ▼]

International migration between economically highly developed countries is a central component of global migration flows. Still, surprisingly little is known about the international mobility of the populations of these affluent societies. The aim of the German Emigration and Remigration Panel Study (GERPS) is to collect data to analyse the individual consequences of international migration as well as the consequences for the country of origin. GERPS is based on an origin-based multistage probability sample using the German population registers as a sampling frame. The realised net sample includes more than 11,000 persons who recently moved abroad from Germany and persons returning to Germany after having lived abroad. The study follows a multi-destination country design and allows comparative analyses of migrants and non-migrants who stayed in the country of origin. GERPS is a panel study with at least four waves during a period of at least 24 months. This documentation, however, presents the methodology and the data for the first wave providing the baseline survey. Detailed information is provided to invite external researchers to apply the new data infrastructure to their own research and to disseminate the innovative research design to construct migrant samples. [less ▲]

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See detailIndividual Consequences of Migration in a Life Course Perspective: Experiences of the First Two Waves of the New German Emigration and Remigration Panel Study (GERPS)
Decieux, Jean Philippe Pierre UL; Witte, Nils; Ette, Andreas et al

Scientific Conference (2019)

With the German Emigration and Remigration Panel Study (GERPS) we have recently started to establish a new and unique longitudinal data set to investigate consequences of international migration from a ... [more ▼]

With the German Emigration and Remigration Panel Study (GERPS) we have recently started to establish a new and unique longitudinal data set to investigate consequences of international migration from a life course perspective. This task is challenging, as internationally mobile individuals are hard to survey for different reasons (e.g. sampling design and approach, contact strategy, panel maintenance). In our presentation, we would like to report experiences we have made and how we handled with methodical problems. GERPS is funded by the German Research Foundation (DFG) and surveys international mobile German citizens (recently emigrated abroad or recently re-migrated to Germany) in four consecutive waves within a panel design. Based on a probability sample, GERPS elucidates the individual consequences of cross-border mobility and concentrates on representative longitudinal individual data. It bases mainly on online surveys and covers topics like changing living conditions or life events linked to the migration process. Our first wave was conducted in November 2018 and the second wave will be started in April 2019. This enables us to present first hand results and experiences of the first two waves of this new and unique longitudinal dataset, which focuses on international migrants. We will mainly reflect the effectiveness of our register-based sampling focusing on traditional indicators of data quality such as response rates or attrition rates. Additionally, we will present our results concerning the success of different incentive approaches (lottery, pre-paid and post-paid incentives) and contact strategies, the used devices to run our online responsive online panel and field experiences we made (e.g. field time and fieldwork during this waves). These results can be very helpful to international researchers in the context of surveying mobile populations. [less ▲]

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