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Why do households repay their debt in UK during the COVID-19 crisis?

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  • MAMATZAKIS, E
  • Tsionas, Mike
  • Ongena, Steven

Abstract

This paper employs a vector autoregressive (VAR) model that nests neural networks and uses Mixed Data Sampling (MIDAS) techniques. We use data information related to COVID-19, financial markets, and household finances. In this paper, we investigate whether COVID-19 impacts household finances, like household debt repayments in the UK. Our results show that household debt repayments’ response to the first principal component of COVID-19 shocks is negative, albeit of low magnitude. However, when we employ specific COVID-19 related data like vaccines and tests the responses are positive, insinuating the underlying dynamic complexities. Overall, confirmed deaths and hospitalisations negatively affect household debt repayments. We also report low persistence in household debt repayments. Generalized impulse response functions confirm the main results. As draconian measures, the lockdowns are eased it appears that the COVID-19 shocks are diminishing, and household financial data converge to the levels prior to the pandemic albeit with some lags. To the best of our knowledge, this is the first study that examines the impact of the pandemic on household debt repayments. Our findings show that policy response in the future should prioritise innovation of new vaccines and testing.

Suggested Citation

  • MAMATZAKIS, E & Tsionas, Mike & Ongena, Steven, 2022. "Why do households repay their debt in UK during the COVID-19 crisis?," MPRA Paper 118785, University Library of Munich, Germany, revised 07 Oct 2023.
    • Handle: RePEc:pra:mprapa:118785
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    More about this item

    Keywords

    COVID-19; household debt; ANN; VAR; MIDAS.;
    All these keywords.

    JEL classification:

    • G0 - Financial Economics - - General
    • G00 - Financial Economics - - General - - - General
    • G1 - Financial Economics - - General Financial Markets
    • I1 - Health, Education, and Welfare - - Health

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