How far do internal migrants really move? Demonstrating a new method for the estimation of intra-zonal distance
Bibliographic Data
| ID | 7366524 |
|---|---|
| Authors | John Stillwell (0000-0002-8803-2001, corresponding author), Michael J Thomas (0000-0001-6120-6377) |
| Year | 2015 |
| Volume | 3 |
| Issue | 1 |
| Pages | 28-47 |
| Publication date | 2015-11-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Regional Studies Regional Science (JOURNAL) |
| Journal identifiers | ISSN: 2168-1376 • E-ISSN: 2168-1376 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/21681376.2015.1109473 |
| OpenAlex | W2188607613 |
| Language | EN |
| Citations received | 18 |
| References cited | 34 |
This paper makes use of data on origin to destination migration by postcode derived from a large biannual consumer survey, Acxiom’s Research Opinion Poll, to measure distances of migration within England in the mid-2000s. These data provide an opportunity to evaluate conventional methods of centroid-based estimation of inter-zonal distance and area-based estimation of intra-zonal distance, and demonstrate how the latter in particular generates problematic estimates. A new regression-based approach for generating intra-zonal distance is presented, resulting in significantly improved goodness-of-fit statistics when used in doubly constrained spatial interaction modelling of migration flows for local authority districts in England from the 2001 and 2011 Censuses
Centroid · Data mining · Distance measures · Econometrics · Economics · Estimation · Geodesy · Geographical distance · Geography · Measure (data warehouse · Population · Sociology · Statistics · Computer Science · Demography · Mathematics · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis · Urban, Neighborhood, and Segregation Studies · Artificial Intelligence
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| Citations per year | 2 |
|---|---|
| Citation span | 2017 - 2026 (10) |
| Highly cited | No |