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

Not available

Methodology

Data collection period

Not available

Country

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 available

Universe

Sampling procedure

Not available

Kind of data

Not available

Data 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