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2023 | OriginalPaper | Buchkapitel

Can I Borrow [for] Your Car? Income, Race, and Automobile Debt in California

verfasst von : Evelyn Blumenberg, Fariba Siddiq, Samuel Speroni, Jacob L. Wasserman

Erschienen in: Pandemic in the Metropolis

Verlag: Springer International Publishing

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Abstract

The COVID-19 crisis elevated the importance of private vehicles. The pandemic drove riders off public transit and spawned additional car-based activities such as drive-through testing and vaccinations and curbside pick-ups. Yet millions of low-income and non-white households do not own vehicles. This chapter draws on a unique credit panel dataset to examine automobile debt and delinquency in California. In particular, we examine whether automobile debt patterns during the pandemic differed from those during and coming out of the Great Recession (December 2007–June 2009). We also analyze the response to the COVID-19 recession across neighborhoods by income and race. Similar to the situation during the Great Recession, we find that the number of automobile loans per borrower declined. While the automobile debt burden (the ratio between total automobile debt and aggregate income) also declined, it fell far less during the pandemic than during the Great Recession. Moreover, automobile loan delinquencies spiked during the Great Recession but instead continued to drop during the pandemic. Finally, the COVID-19 crisis affected consumers differently by both race and income. Automobile debt burden rose in low-income, Latino/a, and Black neighborhoods, a pattern that preceded but continued unabated during the pandemic. The findings suggest that COVID-19 relief may have helped some families manage their automobile-related expenditures. However, other factors, such as increasing automobile prices, likely contributed to growing debt burdens, a potential source of financial distress.

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Fußnoten
1
Sixty-nine percent of low-income Black households and 74% of low-income Asian households have at least one automobile. Automobile ownership among Latino/a households (81%) is only slightly lower than among non-Latino/a white households (85%) [38].
 
2
However, this pattern is not consistent across states and counties in the United States. For example, the percentage of the population with automobile loans is the same (28%) in majority-white and majority-non-white neighborhoods in California [6].
 
3
Production slowdowns due to the shortage of semiconductor chips, along with increased competition from car-hire firms, also contributed to the surge in automobile prices [18].
 
4
All but seven tracts in California had records for median household income, and roughly three-quarters of tracts had a race majority; tracts that had no income data or did not have a majority race/ethnicity are excluded from the corresponding analyses but are included in the statewide data. Statewide data also include loans without census tract identifiers (20% of all loans).
 
5
All neighborhood household income quintiles were significantly different from each other within and between the second quarter of 2019 and the second quarter of 2020.
 
6
All majority-race/ethnicity neighborhoods were significantly different from each other within and between the second quarter of 2019 and the second quarter of 2020 with one exception: Black-majority neighborhoods.
 
7
We draw neighborhood income data from the middle year of the 5-year ACS estimates and assign that income to all quarters in the year. For instance, we draw the aggregate income in all quarters of 2016 from the 2014–2018 5-year estimates. From 2017 on, we assign the income from the 2015–2019 estimates—the most recent year available—to all quarters, adjusting for inflation.
 
8
We begin our analysis in all graphs of Fig. 3 with 2014 due to data limitations inherent in combining UC-CCP data and ACS estimates; the percentage of loans with census tract identifiers in the UC-CCP data increased substantially during 2013.
 
9
Automobile debt burdens were significantly different from each other in neighborhoods by household income quintile in the second quarter of 2019 and in the second quarter of 2020. Between these two time periods, neighborhoods of all income quintiles had significant differences in debt burden.
 
10
All majority-race/ethnicity neighborhoods were significantly different from each other within and between the second quarter of 2019 and the second quarter of 2020 with one exception: Black-majority neighborhoods did not have significant differences in their automobile debt burden between second quarter of 2019 and second quarter of 2020.
 
11
Neighborhoods in all income quintiles were significantly different from each other in terms of share of delinquent borrowers within and between the second quarter of 2019 and the second quarter of 2020.
 
12
The share of delinquent borrowers was significantly different across all of the majority-race/ethnicity neighborhoods in both the second quarter of 2019 and the second quarter of 2020. Between these two quarters, the share of delinquent borrowers was significantly different in Latino/a-majority and white-majority neighborhoods.
 
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Metadaten
Titel
Can I Borrow [for] Your Car? Income, Race, and Automobile Debt in California
verfasst von
Evelyn Blumenberg
Fariba Siddiq
Samuel Speroni
Jacob L. Wasserman
Copyright-Jahr
2023
DOI
https://doi.org/10.1007/978-3-031-00148-2_2

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