Abstract

This paper employs multiple hedonic regressions to estimate the impact of solar potential on housing prices in the United States, utilizing data from Google’s Project Sunroof and the Residential Energy Consumption Survey from the Energy Information Administration. The empirical analysis, based on two sets of regressions, yields mixed results. At the state level, I find a marginally significant but negligible positive relationship. At the zip code level, the relationship is statistically significant and negative but has a low R-squared value, indicating limited explanatory power. While these findings vary, they emphasize the importance of examining the effects of solar energy on housing markets at different scales. This relationship is vital for policymakers shaping renewable energy policies to prevent the exacerbation of unaffordable housing or other unintended socioeconomic consequences.

Advisor

Ling Liu, Jancy

Department

Business Economics

Disciplines

Business | Oil, Gas, and Energy | Real Estate

Publication Date

2025

Degree Granted

Bachelor of Arts

Document Type

Senior Independent Study Thesis

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