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House prices during the COVID-19 pandemic: the impact of “panic” returnees migrants to New Zealand

Author

Listed:
  • Thanh Ngo
  • Hanjun Wu
  • Kan Tsui
  • Graham Squires
  • Xueqi Wang

Abstract

Purpose - This paper aims to investigate the effects of the “panic” returnees who quickly returned back into New Zealand during the COVID-19 pandemic, given that the country was a perceived “safe haven” during that time and thus having some impacts on its national housing market. Design/methodology/approach - This empirical study combines the autoregressive distributed lag framework and the instrumental variable approach to analyse the causal relationship between “panic” returnees and housing market dynamics in New Zealand during the COVID-19 pandemic. Findings - The findings reveal that returnees were the major driver of increases in both short- and long-term house prices, although other longstanding factors such as rental prices, mortgage rates and supply constraints on new housing developments are also important. Policy recommendations and housing programmes are accordingly discussed. Originality/value - To the best of the authors’ knowledge, it is the first study on what is termed “panic” returnees. Therefore, it contributes to the understanding of housing market dynamics in the context of international mobility and economic disruptions, in addition to paving the way for targeted policy recommendations and housing programmes to address affordability challenges.

Suggested Citation

  • Thanh Ngo & Hanjun Wu & Kan Tsui & Graham Squires & Xueqi Wang, 2025. "House prices during the COVID-19 pandemic: the impact of “panic” returnees migrants to New Zealand," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 18(7), pages 24-45, May.
  • Handle: RePEc:eme:ijhmap:ijhma-03-2025-0055
    DOI: 10.1108/IJHMA-03-2025-0055
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    More about this item

    Keywords

    New Zealand; Housing markets; Aviation; Two-stage analysis; Returnees; COVID-19 pandemic; Autoregressive distributed lag; C22; C26; L93; R31;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
    • 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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