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Rising immigration and falling native-born home ownership: a spatial econometric analysis for New Zealand

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  • Chao Li
  • John Gibson
  • Geua Boe-Gibson

Abstract

In the last two decades the foreign-born share of New Zealand’s population increased far faster than in other rich countries. We apply spatial econometric models to a three-wave panel of 1851 census area units to examine impacts of higher foreign-born population shares on home ownership rates, especially for native-born residents. A standard deviation higher foreign-born share is associated with a one-sixth of a standard deviation lower ownership rate for the native-born. Much of the impact is indirect, with higher foreign-born shares in one area spilling over into lower native-born ownership rates elsewhere.

Suggested Citation

  • Chao Li & John Gibson & Geua Boe-Gibson, 2022. "Rising immigration and falling native-born home ownership: a spatial econometric analysis for New Zealand," New Zealand Economic Papers, Taylor & Francis Journals, vol. 56(3), pages 318-325, September.
    • Handle: RePEc:taf:nzecpp:v:56:y:2022:i:3:p:318-325
    DOI: 10.1080/00779954.2022.2105254
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    1. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    2. Steven Stillman & David C. Maré, 2008. "Housing Markets and Migration: Evidence from New Zealand," Working Papers 08_06, Motu Economic and Public Policy Research.
    3. J. Paul Elhorst, 2014. "Dynamic Spatial Panels: Models, Methods and Inferences," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 95-119, Springer.
    4. Peter Nunns, 2021. "The causes and economic consequences of rising regional housing prices in New Zealand," New Zealand Economic Papers, Taylor & Francis Journals, vol. 55(1), pages 66-104, January.
    5. David M. Drukker & Ingmar Prucha & Rafal Raciborski, 2013. "Maximum likelihood and generalized spatial two-stage least-squares estimators for a spatial-autoregressive model with spatial-autoregressive disturbances," Stata Journal, StataCorp LP, vol. 13(2), pages 221-241, June.
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    More about this item

    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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