The Response of Household Debt to COVID-19 Using a Neural Networks VAR in OECD

35 Pages Posted: 20 Apr 2022 Last revised: 27 Sep 2023

See all articles by E. C. Mamatzakis

E. C. Mamatzakis

Birkbeck College, University of London

Steven Ongena

University of Zurich

Mike Tsionas

Lancaster University

Date Written: September 25, 2023

Abstract

This paper investigates responses of household debt to COVID-19 related data like confirmed cases and confirmed deaths within a panel VAR framework for OECD countries. We also employ a plethora of non-pharmaceutical and pharmaceutical interventions as shocks. In terms of methodology, we opt for a global panel VAR (GVAR) methodology that nests underlying country VARs. In addition, as linear factor models may be unable to capture the variability in the data, we use an artificial neural network (ANN) method. The number of factors, as well as the number of intermediate layers, are determined using the marginal likelihood criterion and we estimate the GVAR with MCMC techniques. Results reveal that household debt positively responds to COVID-19 infections and mortality as well as lockdowns, though this response is valid in the short term. However, vaccinations and testing appear to negatively affect household debt. Lockdown measures such as stay-at-home advice, and closing schools, all have a positive impact on household debt in GVAR, though of transitory nature.

Keywords: COVID-19, household debt, ANN, panel VAR, MIDAS, OECD

JEL Classification: C32, E44, F44

Suggested Citation

Mamatzakis, E. C. and Ongena, Steven and Tsionas, Efthymios G., The Response of Household Debt to COVID-19 Using a Neural Networks VAR in OECD (September 25, 2023). Available at SSRN: https://ssrn.com/abstract=4087551 or http://dx.doi.org/10.2139/ssrn.4087551

E. C. Mamatzakis (Contact Author)

Birkbeck College, University of London

Malet St,
Bloomsbury,
London, WC1E7HX
United Kingdom

Steven Ongena

University of Zurich

Rämistrasse 71
Zürich, CH-8006
Switzerland

Efthymios G. Tsionas

Lancaster University ( email )

Lancaster LA1 4YX
United Kingdom

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