2020
DOI: 10.2139/ssrn.3547707
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What Determines Consumer Financial Distress? Place- and Person-Based Factors

Abstract: We use credit report data for a representative sample of 35 million individuals over 2000-2016 to examine consumer financial distress in the United States. We show there are large, persistent geographic disparities in consumer financial distress, with low levels in the Upper Midwest and high levels in the Deep South. To better understand these patterns, we conduct a "movers" analysis that examines how financial distress evolves when people move to places with different levels of financial distress. For collect… Show more

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Cited by 4 publications
(6 citation statements)
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“…Region fixed effects are also sometimes included—there is strong evidence of persistent regional effects in the levels of financial distress (see, for instance, Keys et al. 2020).…”
Section: Heterogeneity In Potential Savings and Take‐up Ratesmentioning
confidence: 99%
See 1 more Smart Citation
“…Region fixed effects are also sometimes included—there is strong evidence of persistent regional effects in the levels of financial distress (see, for instance, Keys et al. 2020).…”
Section: Heterogeneity In Potential Savings and Take‐up Ratesmentioning
confidence: 99%
“…In some of the regressions, we allow for lender fixed effects to capture potentially (unobserved) supply-side determinants of debt relief. 31 Region fixed effects are also sometimes included-there is strong evidence of persistent regional effects in the levels of financial distress (see, for instance, Keys et al 2020).…”
Section: Heterogeneity In Potential Savings and Take-up Ratesmentioning
confidence: 99%
“…While there is increasing interest in financial distress and well-being in psychology, economics, and business research, there is little agreement on definitions or measures. As noted by Mahendru (2020), much study of financial well-being and distress has focused on "objective measures" such as household indebtedness, savings behavior, and insolvency (e.g., Keys et al, 2020). Such measures are important, especially in estimating population prevalence of financial difficulties and allow the use of existing large data sets.…”
Section: Financial Distress and Well-beingmentioning
confidence: 99%
“…2 Other papers using data of movers have estimated the impact of urban sprawl on obesity (Eid et al, 2008), the impact of location on health-care utilization (Finkelstein et al, 2016), food consumption in India (Atkin, 2016), intergenerational mobility (Chetty and Hendren, 2018b,a), opioid abuse (Finkelstein et al, 2018), relative obesity (Liu and Zuppann, 2018), physicians practice styles (Molitor, 2018), mortality (Finkelstein et al, 2019), and consumer financial distress (Keys et al, 2020). More generally, the same idea of using movers is used to measure worker and firm effects (Abowd et al, 1999;Card et al, 2013) and teacher effects (Jackson, 2013;Chetty et al, 2014).…”
Section: Introductionmentioning
confidence: 99%