Impact of waterborne <i>E. coli</i> outbreaks on local communities: evidence from housing transactions in Michigan

Abstract Waterborne Escherichia coli ( E. coli ) represents a pervasive water quality problem across the United States. In Michigan, the presence of E. coli has become problematic for many areas where agricultural run-off and ineffective policies have made these outbreaks endemic. Combining the universe of housing transaction datasets from 2009 to 2017 with the State of Michigan water sampling dataset, we investigate and quantify the negative impacts of E. coli outbreaks on local housing prices. Our difference-in-differences model estimates an overall impact of −8.94% for houses in the treatment group relative to the control group. However, this effect is only short term, as sales prices recover after the outbreak has ended.

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Publication Details

Journal
Agricultural and Resource Economics Review
Published
2024-10-28
DOI
https://doi.org/10.1017/age.2024.13
Primary Topic
Fecal contamination and water quality
Type
article
Field-Weighted Citation Impact
0.00

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article

Impact of waterborne E. coli outbreaks on local communities: evidence from housing transactions in Michigan

Marcello Graziano, Pengfei Liu, Wendong Zhang, Kevin Meyer
Agricultural and Resource Economics Review
Fecal contamination and water quality
article

Impact of waterborne E. coli outbreaks on local communities: evidence from housing transactions in Michigan

Marcello Graziano, Pengfei Liu, Wendong Zhang, Kevin Meyer
article en

Abstract

Abstract Waterborne Escherichia coli ( E. coli ) represents a pervasive water quality problem across the United States. In Michigan, the presence of E. coli has become problematic for many areas where agricultural run-off and ineffective policies have made these outbreaks endemic. Combining the universe of housing transaction datasets from 2009 to 2017 with the State of Michigan water sampling dataset, we investigate and quantify the negative impacts of E. coli outbreaks on local housing prices. Our difference-in-differences model estimates an overall impact of −8.94% for houses in the treatment group relative to the control group. However, this effect is only short term, as sales prices recover after the outbreak has ended.

Agricultural and Resource Economics ReviewVol. 53(3)
University of Rhode Island (US), Cornell University (US), Saginaw Valley State University (US), Ruralis - Institute for Rural and Regional Research (NO)
University of Cambridge
Clean water and sanitation
Openalex Percentile: Top 82%
Fecal contamination and water quality
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