Correlational analysis of energy burden and eviction rate
Abstract
Evictions occur when a landlord expels renters from residing in property the landlord
owns. Recent data suggest that approximately 40% of residential households in California
from years 2012 to 2016 are occupied by renters. The prevalence of renting along with
increasing awareness of evictions make studying the causes of eviction a topic of
interest for public officials, scholars, housing service providers, and the renter
population among others. High cost of living is a direct common cause of evictions
across the US. This paper examines and presents a study on the connection between
energy burden (how much a single household pays for electricity out of its total household
income) and eviction rate. Analysis relies on the application of quantitative research
methods using census tract level data from 2012 to 2016 over the service territory
of Southern California Edison (SCE). This study uses models that account for both
time-variant and time-invariant effects of other key cost and household demographic
variables on eviction rate. By taking this approach, the author attempts to separate
an unbiased effect of energy burden, which could inform predictions about whether
high energy burden is generally accompanied by high eviction rates. Preliminary results
suggest that there is a borderline significant positive correlation between energy
burden and the unobserved time-invariant census tract level heterogeneity that contributes
to higher eviction rates.
Type
Master's projectPermalink
https://hdl.handle.net/10161/18390Citation
Li, Paichen (2019). Correlational analysis of energy burden and eviction rate. Master's project, Duke University. Retrieved from https://hdl.handle.net/10161/18390.Collections
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