Honors Theses

Date of Award

Spring 5-12-2023

Document Type

Undergraduate Thesis



First Advisor

Sergio Garate

Second Advisor

Charles Hilterbrand

Third Advisor

Natalia Kolesnikova

Relational Format




This study shows the disruption that the Covid pandemic has had on the national relationship between changes in quarterly House Price Index (HPI) values and distance from Metropolitan statistical areas (MSAs). This disruption is statistically modeled through linear regressions where quarterly changes in HPI values are set equal to distance as well as factors such as change in population, housing units, and home ownership. Special recognition is also given to the distance relationship during years affected by Covid. This disruption is then analyzed in relation to demographic factors such as age and race. The study showed that the disruption of younger cities, cities whose median age was in the bottom 25th percentile, was twice that of the population which could suggest that younger people relocated outside of MSAs at a greater rate than older people. The study also showed that non-minority cities, cities whose minority makeup was in the bottom 25th percentile, exhibited stronger monocentric characteristics prior to Covid than the entire population which could suggest that further research could be conducted on pre-existing public policies and their effect on the disruption on the distribution of home values.

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Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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Business Commons



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