Improved measures for the cross-national comparison of age profiles of internal migration
Bibliographic Data
| ID | 4268052 |
|---|---|
| Authors | A Bernard (0000-0001-7388-4562, The University of Queensland, corresponding author), Martin Bell (0000-0001-9251-6773, The University of Queensland), Elin Charles-Edwards (0000-0003-2580-207X, The University of Queensland) |
| Year | 2014 |
| Volume | 68 |
| Issue | 2 |
| Pages | 179-195 |
| Publication date | 2014-05-04 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Population Studies (JOURNAL) |
| Journal identifiers | ISSN: 0032-4728 • E-ISSN: 1477-4747 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00324728.2014.890243 |
| PMID | 24779398 |
| OpenAlex | W2020408154 |
| Language | EN |
| Citations received | 34 |
| References cited | 23 |
We develop and demonstrate the application of a concise set of measures intended to encapsulate key features of the age profile of internal migration and highlight the significant differences that exist between nations in these profiles. Model schedules have been the most common method of comparing internal migration patterns but issues related to the estimation and interpretation of their parameters hinder their use for cross-national comparison. We demonstrate that the interpretation of exponential coefficients as rates of ascent and descent does not best reflect the slopes of migration age profiles, and we propose more consistent measures based on the rate of change in migration intensity. We demonstrate, through correlation and factor analysis, that most of the inter-country variance in migration age profiles is captured by the age at and intensity of peak migration. The application of these two indicators to 25 countries reveals significant differences between regions
Contrast (vision) · Econometrics · Economics · Estimation · Geography · Intensity (physics) · Internal migration · Interpretation (philosophy) · Population · Set (abstract data type) · Sociology · Statistics · Variance (accounting) · Artificial Intelligence · Computer Science · Demography · Insurance, Mortality, Demography, Risk Management · Mathematics · Migration and Labor Dynamics · Migration, Aging, and Tourism Studies
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| Unique citing works | 34 |
|---|---|
| Citations per year | 2,83 |
| Citation span | 2014 - 2025 (12) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 32 |