Abstract
In this paper, we demonstrate that the conventional ordinary least squares and fixed effects estimators of classical gravity models of migration are biased, and that the interpretation of coefficients in the fixed effects gravity model is typically incorrect. We then present a best linear unbiased (BLU) estimator for gravity models of migration, and illustrate its application with inter-regional data from New Zealand. The results demonstrate that the standard ordinary least squares and fixed effect models lead to biased coefficients on population. Alternative estimates that are BLU are provided for a data generating process with fixed origin and destination effects. The coefficients on population must be interpreted in this model as growth rate effects rather than level effects. Our findings also have significance for other types of spatial interaction modelling.
Original language | English |
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Pages (from-to) | 9-15 |
Number of pages | 7 |
Journal | Letters in Spatial and Resource Sciences |
Volume | 12 |
Issue number | 1 |
DOIs | |
Publication status | Published - 4 Apr 2019 |
Funding
Acknowledgements This research was funded by the Ministry of Business, Innovation and Employment (Grant Nos. UOWX1404 and MAUX1206) and by the Royal Society of New Zealand Marsden Fund (Grant No. UOW1302). The authors are grateful to Sialupapu Siameja, Tobias Dean, and Liam Bullen for excellent research assistance. The usual disclaimer applies. This research was funded by the Ministry of Business, Innovation and Employment (Grant Nos. UOWX1404 and MAUX1206) and by the Royal Society of New Zealand Marsden Fund (Grant No. UOW1302). The authors are grateful to Sialupapu Siameja, Tobias Dean, and Liam Bullen for excellent research assistance. The usual disclaimer applies.
Funders | Funder number |
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Ministry of Business, Innovation and Employment | MAUX1206, UOWX1404 |
Marsden Fund | UOW1302 |
Keywords
- Fixed effects
- Gravity model
- Gross migration flows
- New Zealand