TY - JOUR
T1 - Fair market rent and the distribution of rents in Los Angeles
AU - McMillen, Daniel
AU - Singh, Ruchi
N1 - Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2020/1
Y1 - 2020/1
N2 - A unique data source is used to analyze the effect of the fair market rent (FMR) on the distribution of apartment rents in Los Angeles for 2007–2015. The data set includes the results of semi-annual surveys of rents in Los Angeles since 2007. The surveys include information on location, characteristics of the property, and a rating of the overall quality of the building exterior. Histograms suggest there is a tendency for rents to cluster at values around the FMR, particularly for small (studio and 1 bedroom) units. We also estimate a model explaining the probability that a unit's rent lies in a set of intervals, including regions just below and just above the FMR. The estimates suggest that the probability that the rent clusters around the FMR is significantly higher than would be expected given the underlying characteristics of the properties. An analysis of changes in rents over time suggests that the tendency for rents to cluster in the region just above the FMR is persistent for individual properties over time.
AB - A unique data source is used to analyze the effect of the fair market rent (FMR) on the distribution of apartment rents in Los Angeles for 2007–2015. The data set includes the results of semi-annual surveys of rents in Los Angeles since 2007. The surveys include information on location, characteristics of the property, and a rating of the overall quality of the building exterior. Histograms suggest there is a tendency for rents to cluster at values around the FMR, particularly for small (studio and 1 bedroom) units. We also estimate a model explaining the probability that a unit's rent lies in a set of intervals, including regions just below and just above the FMR. The estimates suggest that the probability that the rent clusters around the FMR is significantly higher than would be expected given the underlying characteristics of the properties. An analysis of changes in rents over time suggests that the tendency for rents to cluster in the region just above the FMR is persistent for individual properties over time.
UR - https://www.scopus.com/pages/publications/85054441859
UR - https://www.scopus.com/pages/publications/85054441859#tab=citedBy
U2 - 10.1016/j.regsciurbeco.2018.09.004
DO - 10.1016/j.regsciurbeco.2018.09.004
M3 - Article
AN - SCOPUS:85054441859
SN - 0166-0462
VL - 80
JO - Regional Science and Urban Economics
JF - Regional Science and Urban Economics
M1 - 103397
ER -