| Title: |
Estimating the local employment impacts of immigration : a dynamic spatial panel model |
| Authors: |
Fingleton, B.; Olner, D.; Pryce, G. |
| Publisher Information: |
SAGE Publications |
| Publication Year: |
2020 |
| Collection: |
White Rose Research Online (Universities of Leeds, Sheffield & York) |
| Description: |
This paper highlights a number of important gaps in the UK evidence base on the employment impacts of immigration, namely: (i) the lack of research on the local impacts of immigration - existing studies only estimate the impact for the country as a whole; (ii) the absence of long term estimates –research has focussed on relatively short time spans – there are no estimates of the impact over several decades, for example; (iii) the tendency to ignore spatial dependence of employment which can bias the results and distort inference - there are no robust spatial econometric estimates we are aware of. We aim to address these shortcomings by creating a unique dataset of linked Census geographies spanning 5 Censuses since 1971. These yield a large enough sample to estimate the local impacts of immigration using a novel spatial panel model which controls for endogenous selection effects arising from migrants being attracted to high-employment areas. We illustrate our approach with an application to London and find that no migrant group has a statistically significant long-term negative effect on employment. EU migrants are found to have a significant positive impact. Our approach opens up a new avenue of inquiry into sub-national variations in the impacts of immigration on employment. |
| Document Type: |
article in journal/newspaper |
| File Description: |
text |
| Language: |
English |
| ISSN: |
0042-0980 |
| Relation: |
https://eprints.whiterose.ac.uk/id/eprint/152614/21/0042098019887916.pdf; Fingleton, B., Olner, D. and Pryce, G. orcid.org/0000-0002-4380-0388 (2020) Estimating the local employment impacts of immigration : a dynamic spatial panel model. Urban Studies, 57 (13). pp. 2646-2662. ISSN: 0042-0980 |
| Availability: |
https://eprints.whiterose.ac.uk/id/eprint/152614/; https://eprints.whiterose.ac.uk/id/eprint/152614/21/0042098019887916.pdf |
| Rights: |
cc_by_4 |
| Accession Number: |
edsbas.5C705CFD |
| Database: |
BASE |