The Incidence of Extreme Economic Stress: Evidence from Utility Disconnections

Working Paper: NBER ID: w28422

Authors: Steve Cicala

Abstract: This paper uses monthly zip code-level data on electricity disconnections to document the socioeconomic correlates of extreme economic distress among 5 million customers in Illinois. In 2018-2019, customers in Black and Hispanic zip codes were about 4 times more likely to be disconnected for non-payment, 2-3 times more likely to be on deferred payment plans, and 70% more likely to participate in utility-based low-income assistance programs, controlling for zip code distributions of income and other demographic characteristics. During the COVID-19 pandemic, there has been a nine-fold expansion in low-income assistance to pay utility bills, but disconnections were double and deferred payment plans triple their historical averages in October 2020. Disconnection notices were served to 2.5% of commercial and industrial accounts, and 3.4% of residential accounts each month in late 2020. About 20% of all accounts were charged late fees. The odds for each of these measures were multiples higher in minority and low-income zip codes.

Keywords: No keywords provided

JEL Codes: G51; I30; L94; Q40


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Race (J15)Utility disconnections (L97)
Socioeconomic status (I24)Deferred payment plans (G51)
Socioeconomic status (I24)Low-income assistance programs (I38)
Low-income assistance (I32)Buffering economic stress (F65)

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