Publication

The home price-income relationship for US states

Miles, William
Jung, Samuel Moon
Vijverberg, Chu-Ping C.
Citations
Altmetric:
Other Names
Location
Time Period
Advisors
Original Date
Digitization Date
Issue Date
2023-05-07
Type
Article
Genre
Keywords
Fractional integration,Housing affordbility,House price/income ratio,Long memory
Subjects (LCSH)
Research Projects
Organizational Units
Journal Issue
Citation
William Miles, Samuel Moon Jung & Chu-Ping Chen Vijverberg (2023) The home price-income relationship for US states, Applied Economics, DOI: 10.1080/00036846.2023.2210818
Abstract
There are conflicting theories on whether house prices and income should share a long-run relationship. Empirical work on the topic has yielded mixed results. Most previous studies have investigated whether the house price/income ratio is stationary (short memory) or non-stationary (has a unit root) but have not allowed for the intermediate possibility of long memory or fractional integration. We estimate fractional integration for the house price/income ratio for US states. We find most states exhibit long memory in their ratios. The states with the most long memory tend to be in the high-priced east coast and California. Southern and great plains states, in contrast, tend to exhibit the least persistence in the house price/income metric. In some housing markets ? some east coast states, California, Arizona, Florida, and Nevada, home costs can become less and less affordable for local residents, with no tendency to reverse this unaffordability within a reasonable time horizon for potential buyers. In addition to the univariate estimates, multivariate fractional cointegration tests are implemented, and the results support the findings of non-affordability hypothesis.
Table of Contents
Description
Click on the DOI to access this article (may not be free).
Publisher
Routledge
Journal
Applied Economics
Book Title
Series
Digital Collection
Finding Aid URL
Use and Reproduction
Archival Collection
PubMed ID
DOI
ISSN
0003-6846
EISSN
Embedded videos