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| Bilateral Migration Flow Imputation× | Migration Effectiveness Index× | |
|---|---|---|
| Fachgebiet | Migration Studies | Migration Studies |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 2019 | 2002 |
| Urheber≠ | Guy J. Abel & Joel E. Cohen; Guy J. Abel | Martin Bell and colleagues |
| Typ≠ | Imputation pipeline for completing origin-destination migration matrices | Descriptive index of migration efficiency and impact |
| Wegweisende Quelle≠ | Abel, G. J., & Cohen, J. E. (2019). Bilateral international migration flow estimates for 200 countries. Scientific Data, 6, 82. DOI ↗ | Bell, M., Blake, M., Boyle, P., Duke-Williams, O., Rees, P., Stillwell, J., & Hugo, G. (2002). Cross-national comparison of internal migration: issues and measures. Journal of the Royal Statistical Society: Series A, 165(3), 435-464. DOI ↗ |
| Aliasnamen | Origin-Destination Flow Imputation, Country-Pair Migration Matrix Completion, Harmonized Bilateral Flow Estimation, Migration Matrix Imputation | Migration Efficiency Index, Aggregate Net Migration Rate, ANMR, MEI |
| Verwandt | 3 | 3 |
| Zusammenfassung≠ | Bilateral migration flow imputation fills in the complete origin-destination matrix of how many people moved between every pair of countries when the directly reported data cover only a fraction of those pairs and are defined inconsistently from one reporter to the next. The reporting problem is severe: some countries count migrants by intended duration of stay, others by change of registration, others not at all, and a flow reported by the sending country rarely matches the same flow reported by the receiving country. Abel and Cohen's 2019 work, building on Abel's 2013 stock-based estimation, treats this as a matrix-completion problem: harmonize whatever fragments exist, derive consistent row and column totals — often from migrant-stock change — and then fill the empty and unreliable cells so the finished matrix matches those totals. The cells are filled with iterative proportional fitting and a pseudo-Bayesian estimator that blends sparse counts toward a structured prior, and the resulting flows can be refined into sex- and age-specific tables. The output is a single, internally consistent, fully populated bilateral flow table for all country pairs. | The migration effectiveness index measures how efficiently the gross churning of people between regions actually redistributes population, by expressing net migration as a share of total migration turnover. Two regions can each exchange enormous numbers of migrants and yet end up with almost unchanged populations, because the inflows and outflows nearly cancel; the same net change could instead arise from a small, lopsided, highly directed flow. The effectiveness index distinguishes these cases: it runs from near zero, where gross flows are balanced and population is barely redistributed, toward one hundred, where migration is so one-directional that almost every move contributes to net change. Martin Bell and colleagues codified this measure in their influential 2002 framework for cross-national comparison of internal migration, alongside companion indices of overall migration intensity and the aggregate net migration rate, which combines intensity and effectiveness into a single summary of how much migration reshapes the settlement pattern. Together these indices form a standard toolkit for describing and comparing migration systems across countries and over time. |
| ScholarGateDatensatz ↗ |
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