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Understanding the Effects of Coronavirus on Australian Households: A Macro–Micro Analysis

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  • Marc Jim Mariano
  • George Verikios

Abstract

The coronavirus (COVID‐19) pandemic brought economic recession that affected nations, businesses, and households globally. The severity of this global economic crisis is large and the impact has been asymmetric across socioeconomic groups. We examine the distributional effects of the COVID‐19 pandemic across household types using a specially‐designed model that combines macro (computable general equilibrium) and micro (heterogenous households) approaches. Computable general equilibrium models are able to capture behavioural changes in macroeconomic and sectoral variables but they often lack the rich distributional detail found in microsimulation models. In this paper, we address this limitation by incorporating 10,046 actual households into a computable general equilibrium model to capture the heterogeneity through which the pandemic may influence household behaviour. We find that the income effects are asymmetric across income groups leading to a slight increase in income inequality. The distributional effects are more progressive for non‐wage income sources and uniform for wage income. For younger cohorts, income changes are dominated by employment effects whereas income changes for older cohorts are dominated by changes in capital rentals and government transfers. Spatially, the income effects follow a similar pattern for city and non‐city dwellers.

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  • Marc Jim Mariano & George Verikios, 2022. "Understanding the Effects of Coronavirus on Australian Households: A Macro–Micro Analysis," Economic Papers, The Economic Society of Australia, vol. 41(3), pages 215-231, September.
    • Handle: RePEc:bla:econpa:v:41:y:2022:i:3:p:215-231
    DOI: 10.1111/1759-3441.12361
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    References listed on IDEAS

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    1. George Verikios & Xiao-guang Zhang, 2013. "The distributional effects of the Hilmer reforms on the Australian gas industry," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(2), pages 159-177, April.
    2. Keogh-Brown, Marcus Richard & Smith, Richard David, 2008. "The economic impact of SARS: How does the reality match the predictions?," Health Policy, Elsevier, vol. 88(1), pages 110-120, October.
    3. Verikios, George, 2020. "The dynamic effects of infectious disease outbreaks: the case of pandemic influenza and human coronavirus," MPRA Paper 104434, University Library of Munich, Germany.
    4. James B Davies, 2009. "Combining microsimulation with CGE and macro modelling for distributional analysis in developing and transition countries," International Journal of Microsimulation, International Microsimulation Association, vol. 2(1), pages 49-56.
    5. Ji Chou & Nai-Fong Kuo & Su-Ling Peng, 2004. "Potential Impacts of the SARS Outbreak on Taiwan's Economy," Asian Economic Papers, MIT Press, vol. 3(1), pages 84-99.
    6. Arno Hantzsche & Amit Kara & Garry Young, 2018. "Prospects for the UK Economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 246(1), pages 4-35, November.
    7. Amit Kara & Arno Hantzsche & Jason Lennard & Cyrille Lenoel & Marta Lopresto & Rebecca Piggott & Garry Young, 2018. "Prospects for the UK Economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 245(1), pages 10-40, August.
    8. John Cockburn & Erwin Corong & Caesar Cororaton, 2010. "Integrated Computable General Equilibrium (CGE) microsimulation approach," International Journal of Microsimulation, International Microsimulation Association, vol. 3(1), pages 60-71.
    9. Amit Kara & Arno Hantzsche & Jason Lennard & Cyrille Lenoel & Marta Lopresto & Rebecca Piggott & Craig Thamotheram & Garry Young, 2018. "Prospects for the UK Economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 244(1), pages 11-36, May.
    10. George Verikios & Xiao-guang Zhang, 2016. "Structural change and income distribution: the case of Australian telecommunications," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 21(4), pages 549-570, October.
    11. Kenneth W. Clements & Marc Jim M. Mariano & George Verikios, 2021. "Foreign-domestic substitution, import penetration and CGE modelling," Applied Economics, Taylor & Francis Journals, vol. 53(35), pages 4080-4099, July.
    12. Amit Kara & Arno Hantzsche & Jason Lennard & Cyrille Lenoel & Marta Lopresto & Rebecca Piggott & Craig Thamotheram & Garry Young, 2018. "Prospects for the UK Economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 243(1), pages 10-42, February.
    13. James B. Davies, 2004. "Microsimulation, CGE and Macro Modelling for Transition and Developing Economies," WIDER Working Paper Series DP2004-08, World Institute for Development Economic Research (UNU-WIDER).
    14. Alan P. Kirman, 1992. "Whom or What Does the Representative Individual Represent?," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 117-136, Spring.
    15. Kenneth W. Clements & Marc Jim M. Mariano & George Verikios, 2020. "Estimating The Linear Expenditure System With Cross-Sectional Data," Economics Discussion / Working Papers 20-18, The University of Western Australia, Department of Economics.
    16. George Verikios & Xiao-Guang Zhang, 2015. "Microeconomic Reform And Income Distribution: The Case Of Australian Ports And Rail Freight," Contemporary Economic Policy, Western Economic Association International, vol. 33(1), pages 159-175, January.
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    1. Long Hai Vo & Kirsten Martinus & Brett Smith, 2023. "A Demand Systems Approach to Understanding Medium‐Term Post‐Pandemic Consumption Trends," Economic Papers, The Economic Society of Australia, vol. 42(2), pages 183-199, June.

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