Circular Migration Measurement
Circular migration measurement provides a quantitative grammar for distinguishing migrants who move back and forth across a border from those who settle permanently or return for good. Constant and Zimmermann's 2011 study proposed measuring circularity through two simple but powerful quantities: the number of exits a migrant makes from the host country and the cumulative years they spend away. With these counts in hand, the analysis models them statistically — using Poisson or negative-binomial regression for the count of exits and related models for years away — and represents the back-and-forth itself as transitions between being in the host country and being away, in the spirit of a Markov repeat-migration process. The framework turns the fuzzy notion of 'circular' or 'repeat' migration into measurable outcomes that can be explained by individual and contextual covariates and used to classify migrants into permanent stayers, circular movers, and permanent returners. Its contribution is to make circularity countable rather than merely descriptive.
Přečíst celou metodu
Pro přečtení této sekce se přihlaste s bezplatným účtem.
Mapa metod
Okolí příbuzných metod — vyberte uzel, který chcete prozkoumat.
Zdroje
- Constant, A. F., & Zimmermann, K. F. (2011). Circular and Repeat Migration: Counts of Exits and Years Away from the Host Country. Population Research and Policy Review, 30(4), 495-515. DOI: 10.1007/s11113-010-9198-6 ↗
Jak citovat tuto stránku
ScholarGate. (2026, June 23). Circular and Repeat Migration Measurement. ScholarGate. https://scholargate.app/cs/migration-studies/circular-migration-measurement
Která metoda?
Postavte tuto metodu vedle jejích nejbližších příbuzných a čtěte je vedle sebe — knihovna položí knihy na stůl; volba je na vás.
- Discrete-Time Hazard of MigrationMigration Studies↔ porovnat
- Onward Migration AnalysisMigration Studies↔ porovnat
- Return Migration AnalysisMigration Studies↔ porovnat
Odkazuje sem
Podobné metody
Našli jste na této stránce chybu? Nahlaste ji nebo navrhněte opravu →