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

Author:

Mamatzakis EmmanuelORCID,Tsionas Mike G.ORCID,Ongena Steven

Abstract

PurposeIn this paper, the authors investigate whether coronavirus disease 2019 (COVID-19) impacts household finances, like household debt repayments in the UK.Design/methodology/approachThis paper employs a vector autoregressive (VAR) model that nests neural networks and uses Mixed Data Sampling (MIDAS) techniques. The authors use data information related to COVID-19, financial markets and household finances.FindingsThe authors' results show that household debt repayments' response to the first principal component of COVID-19 shocks is negative, albeit of low magnitude. However, when the authors 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. The authors also report low persistence in household debt repayments. Generalised impulse response functions (IRFs) confirm the main results. As draconian measures, the lockdowns are eased and the COVID-19 shocks are diminishing, and household financial data converge to the levels prior to the pandemic albeit with some lags.Originality/valueTo the best of the authors' knowledge, this is the first study that examines the impact of the pandemic on household debt repayments. The authors' findings show that policy response in the future should prioritise innovation of new vaccines and testing.

Publisher

Emerald

Subject

General Economics, Econometrics and Finance

Reference21 articles.

1. Tracking the COVID-19 crisis with high-resolution transaction data,2020

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3. The Covid 19 crisis and consumption: survey evidence from six EU countries,2020

4. Franklin, J., Green, G., Rice-Jones, L., Venables, S. and Wukovits-Votzi, T. (2021), “Household debt and Covid. Bank of England quarterly bulletin 2021 Q2”, June 25, SSRN, available at: https://ssrn.com/abstract=3945585

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