Tracing Emigrating Populations from Highly-Developed Countries Resident Registration Data as a Sampling Frame for International German Migrants

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Transcription:

Tracing Emigrating Populations from Highly-Developed Countries Resident Registration Data as a Sampling Frame for International German Migrants International Forum on Migration Statistics, 15-16 January 2018, Paris

German Emigration and Remigration Panel Study 1. 2. 3. 4. 5. 6. Background Theoretical Approach Methodological Approach Sampling Frame Results of the Pilot Study a. Field Work b. Non-response c. Data-quality Conclusion

Background Progress has been made in understanding drivers of migration, and we have relatively good data on immigrant populations, but we lack information on how many people leave their country each year to settle elsewhere and who these emigrants are. The impact of migration on the individual [ ] is only partly understood. (Willekens/Massey/Raymer/Beauchemin 2016: 897)

Background Existing sample surveys on South-North Migration Mexican Migration Project Migrations between Africa and Europe Project Push and Pull Factors of International Migration Project Existing approaches studying North-North Migration Migration intentions (e.g. Dalen/Henkens 2007) or retrospective data on stays abroad after return (e.g. Gerhards/Hans 2013) Census data (e.g. OECD 2015) or national household surveys (e.g. Ette/Sauer 2010) Sample surveys in the European context: PIONEUR, YMOBILITIES Lack of data on emigrants from highly developed countries and the individual consequences of migration

Theoretical Approach Origin Selection M O D Destination Integration Migration Individual Consequences Destination-Origin-Migration-Approach (DOM)

Country of Origin Methodological Approach Representative Sample of Emigrants Longitudinal Study of Emigrants Longitudinal Study of Emigrants Representative Sample of Origin Community Longitudinal Study of Origin Community Longitudinal Study of Origin Community Representative Sample of Remigrants Longitudinal Study of Remigrants Longitudinal Study of Remigrants Wave 1 Wave 2 Wave X Time

Country of Origin Methodological Approach GERPS Emigration Sample GERPS Emigration Panel GERPS Emigration Panel SOEP SOEP SOEP GERPS Remigration Sample GERPS Remigration Panel GERPS Remigration Panel Wave 1 Wave 2 Wave X Time

Sampling Frame International migrants from and between highly developed countries constitute rare population (Lavrakas 2008) Traditional sampling methods for rare populations are mainly inefficient for international migrants (e.g. snowballing, network) Resident registration data is regularly used as a sampling frame for high-quality population surveys having particular advantages in identifying rare populations High data quality of emigrants holding citizenship of respective country and intending to make the country of destination their principal residence for a longer period of time Resident registration data can be used as an origin-based sampling frame for a destination-focused surveying

Pilot Study: Field Work Postal cover letter + Online-Questionnaire

Pilot Study: Field Work

Pilot Study: Response Rate Emigrants Remigrants N % N % Initial sample 3,000 100 4,498 100 Non-eligible respondents, total 543 18.1 513 11.4 wrong address 542 18.1 503 11.2 not part of the population 1 0.0 10 0.2 Adjusted sample 2,457 100 3,985 100 Systematically missing, total 15 0.6 21 0.5 not cooperating 3 0.1 2 0.1 not able to respond - - 1 0.0 immediately cancelled 12 0.5 18 0.5 Analysable interviews 774 31.5 895 22.5 partial interviews 37 1.5 42 1.1 complete interviews 737 30.0 853 21.4

Determinants of Non-Eligibility of Emigrants Logistic regression models, odds ratios, all categorical variables effect coded

Determinants of Non-Response: Age Response rates by age and migrant group

Determinants of Non-Response: Country Response rates by Country of origin / destination and migrant group

Data Quality: Remigrants Differences between survey and reference statistics, in percentage points

Data Quality: Emigrants Differences between survey and reference statistics, in percentage points

Conclusion 1. 2. 3. Origin-based sampling with destination-based interviewing is efficient strategy to close the lack of information on emigration and its consequences for the individual Combination of offline recruitment with online questionnaire is an efficient strategy in surveying internationally mobile population Methodological strategy of the German Emigration and Remigration Panel Study is potentially applicable to all countries with population registers and provides a basis to collect longitudinal data on the behaviour and experiences of emigrants

Thank you very much! Further information: Dr. Andreas Ette Phone: +49 611 75 4360 E-Mail: andreas.ette@bib.bund.de

Quality of Population Register Data Measuring international spatial mobility in the German Microcensus: Were you living in the same place of residence twelve months ago? Was your former place of residence in the Federal Republic of Germany? Comparing socio-demographic indicators of international German migrants based on Microcensus and Population Register data Source: Ette et al. 2008