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The home price–income relationship for US states

Author

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  • William Miles
  • Samuel Moon Jung
  • Chu-Ping Chen Vijverberg

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.

Suggested Citation

  • William Miles & Samuel Moon Jung & Chu-Ping Chen Vijverberg, 2024. "The home price–income relationship for US states," Applied Economics, Taylor & Francis Journals, vol. 56(34), pages 4128-4139, July.
  • Handle: RePEc:taf:applec:v:56:y:2024:i:34:p:4128-4139
    DOI: 10.1080/00036846.2023.2210818
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