2014
DOI: 10.2139/ssrn.2382594
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Does Greater Inequality Lead to More Household Borrowing? New Evidence from Household Data

Abstract: Using household-level debt data over 2000-2012 and local variation in inequality, we show that low-income households in high-inequality regions (zip-codes, counties, states) accumulated less debt (relative to their income) than low-income households in lower-inequality regions, contrary to the prevailing view. Furthermore, the price of credit is higher and access to credit is harder for low-income households in high-inequality versus low-inequality regions. Lower quantities combined with higher prices suggest … Show more

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Cited by 18 publications
(37 citation statements)
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“…Broadly, the influence of inequality could work through the supply of or demand for credit. Financial institutions could use increasing income inequality within a region to help them target credit (Coibion et al 2014). Alternatively, there are a variety of ways rising inequality could affect the demand for credit (Bertrand and Morse 2013).…”
Section: The Influence Of Inequality On Consumption and Debtmentioning
confidence: 99%
See 1 more Smart Citation
“…Broadly, the influence of inequality could work through the supply of or demand for credit. Financial institutions could use increasing income inequality within a region to help them target credit (Coibion et al 2014). Alternatively, there are a variety of ways rising inequality could affect the demand for credit (Bertrand and Morse 2013).…”
Section: The Influence Of Inequality On Consumption and Debtmentioning
confidence: 99%
“…As the share of income held by households at the very top of the distribution has risen to the highest levels in generations (Figure 1), household borrowing has also climbed to historic high levels ( Figure 2) and earnings across the broad middle and bottom of the distribution have experienced little growth. Several recent papers explore the link between inequality and consumption and borrowing (Bertrand and Morse 2013;Coibion et al 2014;Bricker, Ramcharan, and Krimmel 2014b). This paper extends the budding literature on this question; it uses data from the Survey of Consumer Finances (SCF) to explore how changes in the income levels at the 95th and 99th percentiles of the distribution at the state level have affected…”
Section: Introductionmentioning
confidence: 99%
“…In our view, the results of Coibion et al . () only suggest that the relaxation of borrowing limits is not homogeneous across regions leading to larger increases in borrowing in more equal regions. In fact, they document that credit card limits, aside from balances, increase more in low inequality areas suggesting this geographically asymmetric change in credit supply.…”
mentioning
confidence: 95%
“… Coibion, Gorodnichenko, Kudlyak and Mondragon () perform a ‘difference‐in‐difference’ exercise across income groups and regional inequality levels finding that low‐income households in high‐inequality regions accumulated less debt relative to income than their counterparts in lower‐inequality regions. At first sight, one may think that their results contradict ours.…”
mentioning
confidence: 99%
“…Furthermore, income inequality may limit opportunities for the poor to invest in education and entrepreneurial activity, which ultimately undermines potential growth (Jaumotte and Osorio Buitron, ). Finally, it has been argued that more income inequality leads to higher household indebtedness, fuels asset market bubbles, and raises financial instability (Coibion et al ., ; Kumhof et al ., ; Kirschenmann et al ., ; Perugini et al ., )…”
Section: Introductionmentioning
confidence: 99%