Full Citation

Title: Time is Money: A Pseudo-Panel Analysis of The Relationship Between Income and Commute Time

Citation Type: Dissertation/Thesis

Publication Year: 2019

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Abstract: This paper investigates the relationship between income and commute time, both at the individual and community levels. I use data from Integrated Public Use Microdata Series (IPUMS) sourced from the American Community Survey to show that increases in average income in a community are associated with increases in average commute time. In addition, I examine data from Los Angeles County to show that between individuals of the same demographic characteristics, higher income is associated with longer commute time. Across the United States, I find that commute times have been increasing in the 13 years sampled, but the increase is consistent across all races, education levels, and income deciles. Though increases in income are associated with increases in commute time for individual communities, I find that within Los Angeles, the average income of a community is negatively related to average commute time, meaning that residents of poor communities in Los Angeles take longer to get to work than their wealthy counterparts.

Url: https://escholarship.org/content/qt0gb460b0/qt0gb460b0.pdf

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Authors: Sielewicz, Roman

Institution: University of California, Santa Barbara

Department: Economics

Advisor: Daniel Cullen

Degree: B.A.

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Pages: 1-20

Data Collections: IPUMS USA

Topics: Labor Force and Occupational Structure, Other, Population Mobility and Spatial Demography, Work, Family, and Time

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