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Cited by 756

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Household Debt and Business Cycles Worldwide*

Open access
Mian, Atif, Sufi, Amir, Verner, Emil·2017·The Quarterly Journal of Economics

Abstract

An increase in the household debt to GDP ratio predicts lower GDP growth and higher unemployment in the medium run for an unbalanced panel of 30 countries from 1960 to 2012. Low mortgage spreads are associated with an increase in the household debt to GDP ratio and a decline in subsequent GDP growth, highlighting the importance of credit supply shocks. Economic forecasters systematically over-predict GDP growth at the end of household debt booms, suggesting an important role of flawed expectations formation. The negative relation between the change in household debt to GDP and subsequent output growth is stronger for countries with less flexible exchange rate regimes. We also uncover a global household debt cycle that partly predicts the severity of the global growth slowdown after 2007. Countries with a household debt cycle more correlated with the global household debt cycle experience a sharper decline in growth after an increase in domestic household debt.

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Metadata

Authors
Mian, A., Sufi, A., & Verner, E.
Venue
The Quarterly Journal of Economics
Published
2017-05-26
Volume
132
Issue
4
Pages
1755-1817
ISSN
  • 0033-5533 (ISSN-L)
  • 1531-4650
OpenAlex
W3023536742
Cited by
756
References
5
FWCI
149.19
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Household Debt and Business Cycles Worldwide*. https://app.cochat.ai/papers/10.1093/qje/qjx017
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Mian, A., Sufi, A., & Verner, E. (2017). Household Debt and Business Cycles Worldwide*. The Quarterly Journal of Economics. https://doi.org/10.1093/qje/qjx017

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.