Household debt and consumption dynamics: A non developed world view following the financial crisis
Steven F Koch (),
Adel Bosch () and
Matthew Clance ()
ERSA Working Paper Series, 2021
Abstract:
According to recent macroeconomic evidence (Bosch and Koch 2020; Farrell and Kemp 2020), the global financial crisis is still impacting the South African financial landscape more than 10 years later. In an effort to better understand the effect of the financial crisis, we examine household debt dynamics, with particular attention to deleveraging, following the financial cycle peak. Our analysis is predicated on the National Income Dynamics Study, the first wave of which was conducted adjacent to the beginning of the crisis. We apply standard regression analysis finding heterogeneity in debt and deleveraging at the household level, with both an uptick in short-term debt in the early stages of the crisis and a reduction in long-term debt, primarily mortgage debt, since. Overall, deleveraging was greatest amongst higher income households with relatively larger mortgage debt-to-income ratios, although that was partially offset in households with higher mortgage repayment costs relative to income. Long-term deleveraging was also more likely amongst households with higher vehicle debt-to-income ratios, but lower consumer debt-to-income ratios.
Keywords: Household Debt; consumption analysis (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ersawps.org/index.php/working-paper-series/article/view/46/32 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:rza:ersawp:v::y:2021:i::id:46
Access Statistics for this article
ERSA Working Paper Series is currently edited by Guangling Liu
More articles in ERSA Working Paper Series from Economic Research Southern Africa
Bibliographic data for series maintained by Maggi Sigg ().