2026-10-15T07:32:25Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

66f3b13be2a2bdc38f97e081202f6a12566382868a0312fd30b8f621e0de6aea 2026-06-02T13:48:57Z language:enopenaire_data

10.7802/1846 https://search.gesis.org/research_data/SDN-10.7802-1846?lang=dehttps://search.gesis.org/research_data/SDN-10.7802-1846?lang=en Understanding the Migration Patterns of Russian Academics through New Institutional Economics. Siegert, AndreasSiegert, Andreas Thesis: The migration of Russian academics is influenced by their socialization. Understanding the mobility of academic labor can augment the attractiveness of countries or regions to which immigrants are drawn. Migration patterns were derived from an empirical web survey (level of significance >95%) of 500 Russian academics who migrated to Germany. The results indicated that their decisions were based on their specific values, which determined their perceptions of the transaction costs and benefits involved in international labor markets. New Institutional Economics (NIE) serves as a theoretical framework through which to understand academics’ decisions to migrate and illustrates that peripheral regions and small enterprises can attract well-educated workers.Thesis: The migration of Russian academics is influenced by their socialization. Understanding the mobility of academic labor can augment the attractiveness of countries or regions to which immigrants are drawn. Migration patterns were derived from an empirical web survey (level of significance >95%) of 500 Russian academics who migrated to Germany. The results indicated that their decisions were based on their specific values, which determined their perceptions of the transaction costs and benefits involved in international labor markets. New Institutional Economics (NIE) serves as a theoretical framework through which to understand academics’ decisions to migrate and illustrates that peripheral regions and small enterprises can attract well-educated workers. en 2019 Dataset Russian FederationRussian FederationGermanyGermany http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_1846 2023-03-11 ddi:codebook:2_5