Summary information
Study title
IMISEM Dataset
Creator
Pedroza, Luicy ( GIGA German Institute for Global and Area Studies)
Study number / PID
10.7802/2380 (GESIS)
10.7802/2380 (DOI)
Data access
Information not available
Series
Not available
Abstract
The IMISEM dataset contains 828 indicators on the migration policies of 32 polities from Europe, South East Asia and Latin America and the Caribbean. The IMISEM project adopts a comprehensive view of migration policy that includes both its emigrant/ emigration and immigrant/ immigration sides, bridging for the first time the two sides of migration policy. Thus, the dataset includes indicators that measure emigration policies (exit policies and control of outflows), immigration policies (entry policies and control of inflows), emigrant policies (rights granted, services offered and obligations imposed on non-resident citizens), immigrant policies (mainly, rights granted to non-citizen residents) and citizenship policies (mainly, access to naturalization for immigrants and retention of citizenship by emigrants). The main sources used to complete the IMISEM questionnaires are legal sources (i.e. laws, regulations). Legal sources are complemented with secondary sources (for instance, policy reports) and interviews with experts. The IMISEM Dataset is one of the main outputs of the “The Every Immigrant is an Emigrant Project (IMISEM)” funded by the Leibniz Gemeinschaft and carried out at the GIGA German Institute for Global and Area Studies between 2017 and 2020.
Topics
Keywords
Methodology
Data collection period
Not availableCountry
Chile, China, Costa Rica, Timor-Leste, Ecuador, El Salvador, Guatemala, Japan, Macao, Malaysia, Peru, Portugal, Uruguay, Bolivia (Plurinational State of), Korea (Republic of), Taiwan, Province of China[a], Argentinien, Österreich, Brasilien, Kolumbien, Dominikanische Republik, Frankreich, Deutschland, Hongkong, Ungarn, Indonesien, Irland, Mexiko, Philippinen, Singapur, Spanien, Trinidad und Tobago
Time dimension
Cross-section
Analysis unit
Not availableUniverse
Sampling procedure
Not availableKind of data
Not availableData collection mode
Inhaltscodierung
Access
Publisher
GESIS Data Archive for the Social Sciences
Publication year
2022
Terms of data access
Free access (with registration) - The research data can be downloaded by registered users.
Related publications
Not available