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Supporting Australia’s housing system: modelling pandemic policy responses

Author

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  • Huang, Donna
  • Leishman, Chris
  • Ong, Rachel
  • Lester, Laurence
  • Liang, Weidong

Abstract

This research considered the economic literature relating to pandemics and modelled a range of related economic outcomes on employment and unemployment by sector and on the housing outcomes of home owners, private renters, and small investor landlords in Australia from late 2020 and through 2021.

Suggested Citation

  • Huang, Donna & Leishman, Chris & Ong, Rachel & Lester, Laurence & Liang, Weidong, 2020. "Supporting Australia’s housing system: modelling pandemic policy responses," SocArXiv p63nw, Center for Open Science.
  • Handle: RePEc:osf:socarx:p63nw
    DOI: 10.31219/osf.io/p63nw
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    References listed on IDEAS

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    1. Warwick McKibbin & Roshen Fernando, 2021. "The Global Macroeconomic Impacts of COVID-19: Seven Scenarios," Asian Economic Papers, MIT Press, vol. 20(2), pages 1-30, Summer.
    2. Vella, Francis & Verbeek, Marno, 1999. "Two-step estimation of panel data models with censored endogenous variables and selection bias," Journal of Econometrics, Elsevier, vol. 90(2), pages 239-263, June.
    3. Francis Vella, 1998. "Estimating Models with Sample Selection Bias: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 127-169.
    4. Gavin A. Wood & Rachel Ong, 2017. "The Australian Housing System: A Quiet Revolution?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 50(2), pages 197-204, June.
    5. Smith, Richard D. & Keogh-Brown, Marcus R. & Barnett, Tony, 2011. "Estimating the economic impact of pandemic influenza: An application of the computable general equilibrium model to the UK," Social Science & Medicine, Elsevier, vol. 73(2), pages 235-244, July.
    6. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
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