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Did the UK policy response to Covid-19 protect household incomes?

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  • Valentinova Tasseva, Iva
  • Brewer, Mike

Abstract

We analyse the UK policy response to Covid-19 and its impact on household incomes in the UK in April and May 2020, using microsimulation methods. We estimate that households will lose a substantial share of their net income (7% on average). As a proportion of income, the losses due to the crisis are largest for previously higher-income families. However, the overall impact of the crisis on income inequality is small. Earnings subsidies (the Coronavirus Job Retention Scheme) will protect household finances and provide the main insurance mechanism during the crisis. Besides subsidies, Covid-related increases to state benefits, as well as the automatic stabilisers in the tax and benefit system, will play an important role in mitigating the income losses. Analysing the impact of a near-decade of austerity on the UK safety net, we find that, compared to 2011 policies, the 2020 pre-Covid tax-benefit policies would have been less effective in insuring incomes against the shocks. The extra benefit spending in response to the pandemic will strengthen the safety net, providing important additional income protection.

Suggested Citation

  • Valentinova Tasseva, Iva & Brewer, Mike, 2020. "Did the UK policy response to Covid-19 protect household incomes?," EUROMOD Working Papers EM12/20, EUROMOD at the Institute for Social and Economic Research.
  • Handle: RePEc:ese:emodwp:em12-20
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    References listed on IDEAS

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    1. Coibion, Olivier & Gorodnichenko, Yuriy & Weber, Michael, 2020. "Labor Markets During the Covid-19 Crisis: A Preliminary View," Department of Economics, Working Paper Series qt7rx7t91p, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    2. Alan J. Auerbach & Yuriy Gorodnichenko, 2012. "Measuring the Output Responses to Fiscal Policy," American Economic Journal: Economic Policy, American Economic Association, vol. 4(2), pages 1-27, May.
    3. Olivier Bargain & Tim Callan, 2010. "Analysing the effects of tax-benefit reforms on income distribution: a decomposition approach," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(1), pages 1-21, March.
    4. Anthony B. Atkinson & Chrysa Leventi & Brian Nolan & Holly Sutherland & Iva Tasseva, 2017. "Reducing poverty and inequality through tax-benefit reform and the minimum wage: the UK as a case-study," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(4), pages 303-323, December.
    5. Dolls, Mathias & Fuest, Clemens & Peichl, Andreas, 2012. "Automatic stabilizers and economic crisis: US vs. Europe," Journal of Public Economics, Elsevier, vol. 96(3), pages 279-294.
    6. Marianne Bitler & Hilary Hoynes & Elira Kuka, 2017. "Child Poverty, the Great Recession, and the Social Safety Net in the United States," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 36(2), pages 358-389, March.
    7. Crossley, Thomas F. & Fisher, Paul & Low, Hamish, 2021. "The heterogeneous and regressive consequences of COVID-19: Evidence from high quality panel data," Journal of Public Economics, Elsevier, vol. 193(C).
    8. Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2020. "Inequality in the impact of the coronavirus shock: Evidence from real time surveys," Journal of Public Economics, Elsevier, vol. 189(C).
    9. Mariña Fernández Salgado & Francesco Figari & Holly Sutherland & Alberto Tumino, 2014. "Welfare Compensation for Unemployment in the Great Recession," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(S1), pages 177-204, May.
    10. Jeehoon Han & Bruce D. Meyer & James X. Sullivan, 2020. "Income and Poverty in the COVID-19 Pandemic," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(2 (Summer), pages 85-118.
    11. Richiardi, Matteo & Bronka, Patryk & Collado, Diego, 2020. "The Covid-19 crisis response helps the poor: the distributional and budgetary consequences of the UK lock-down," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA5/20, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    12. Lawrence Christiano & Martin Eichenbaum & Sergio Rebelo, 2011. "When Is the Government Spending Multiplier Large?," Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 78-121.
    13. Bruckmeier, Kerstin & Peichl, Andreas & Popp, Martin & Wiemers, Jürgen & Wollmershäuser, Timo, 2020. "Distributional Effects of Macroeconomic Shocks in Real-Time: A Novel Method Applied to the Covid-19 Crisis in Germany," IAB-Discussion Paper 202036, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    14. Doorley, Karina & Regan, Mark & Beirne, Keelan & Roantree, Barra & Tuda, Dora, 2020. "The potential costs and distributional effect of Covid-19 related unemployment in Ireland," EUROMOD Working Papers EM5/20, EUROMOD at the Institute for Social and Economic Research.
    15. De Agostini, Paola & Hills, John Robert & Sutherland, Holly, 2015. "Were we really all in it together? The distributional effects of the 2010-2015 UK Coalition government's tax-benefit policy changes: an end-of-term update," LSE Research Online Documents on Economics 121537, London School of Economics and Political Science, LSE Library.
    16. Holly Sutherland & Francesco Figari, 2013. "EUROMOD: the European Union tax-benefit microsimulation model," International Journal of Microsimulation, International Microsimulation Association, vol. 1(6), pages 4-26.
    17. De Agostini, Paula & Hills, John & Sutherland, Holly, 2018. "Were we really all in it together? The distributional effects of the 2010-2015 UK Coalition government's tax-benefit policy changes," LSE Research Online Documents on Economics 82895, London School of Economics and Political Science, LSE Library.
    18. repec:bla:revinw:v:60:y:2014:i::p:s177-s204 is not listed on IDEAS
    19. Alan J. Auerbach & Daniel R. Feenberg, 2000. "The Significance of Federal Taxes as Automatic Stabilizers," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 37-56, Summer.
    20. Marianne Bitler & Hilary Hoynes, 2016. "The More Things Change, the More They Stay the Same? The Safety Net and Poverty in the Great Recession," Journal of Labor Economics, University of Chicago Press, vol. 34(S1), pages 403-444.
    21. Alari Paulus & Iva Valentinova Tasseva, 2020. "Europe Through the Crisis: Discretionary Policy Changes and Automatic Stabilizers," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 864-888, August.
    22. Jeff Larrimore & Richard V. Burkhauser & Philip Armour, 2015. "Accounting for Income Changes Over the Great Recession Relative to Previous Recessions: The Impact of Taxes and Transfers," National Tax Journal, National Tax Association;National Tax Journal, vol. 68(2), pages 281-318, June.
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    More about this item

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies

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