Hear Ye, Bear Ye: Housing Values, Noise Levels, and Noise Inequality

Jeffrey P. Cohen et al.

Journal of Regional Science2026https://doi.org/10.1111/jors.70046article
AJG 3ABDC A
Weight
0.50

Abstract

We explore how a 2017 federal government policy announcement and 2019 implementation requiring quieter engines in some new commercial aircraft impacted the relationships between home values, transportation noise, and demographics. We focus on aircraft noise in Census tracts across the contiguous U.S., as well as separating road and aircraft noise. Using a panel of tract‐level noise data for 3 years (2016, 2018, and 2020), along with Census data on demographics, house values, and property characteristics, we first demonstrate numerically and graphically the extent to which some residents experience disproportionate amounts of noise by constructing measures of inequality. Next, we rely on the policy announcement to test the hypothesis that this requirement is a cause of structural change in how aircraft noise affected house prices across demographic groups. We find overall the policy has a positive effect on house values in Census tracts with at least 45 dBA of noise, the federally designated cutoff for annoyance.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1111/jors.70046

Or copy a formatted citation

@article{jeffrey2026,
  title        = {{Hear Ye, Bear Ye: Housing Values, Noise Levels, and Noise Inequality}},
  author       = {Jeffrey P. Cohen et al.},
  journal      = {Journal of Regional Science},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/jors.70046},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Hear Ye, Bear Ye: Housing Values, Noise Levels, and Noise Inequality

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.