Data and Code for: Economic Effects of Environmental Crises: Evidence from Flint, Michigan
Principal Investigator(s): View help for Principal Investigator(s) David Keiser, University of Massachusetts Amherst; Gabriel Lade, Macalester College; Peter Christensen, University of Illinois at Urbana-Champaign
Version: View help for Version V1
| Name | File Type | Size | Last Modified |
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| code | 04/27/2022 10:29:AM | ||
| data | 04/27/2022 10:29:AM | ||
| results | 04/27/2022 10:32:AM | ||
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application/pdf | 454.8 KB | 07/29/2022 09:12:AM |
Project Citation:
Keiser, David, Lade, Gabriel , and Christensen, Peter . Data and Code for: Economic Effects of Environmental Crises: Evidence from Flint, Michigan. Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-01-26. https://doi.org/10.3886/E168842V1
Project Description
Summary:
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In April 2014, Flint, Michigan switched its drinking water supply from the Detroit water system to the Flint River as a temporary means to save $5M. Over eighteen months, it was revealed that the switch exposed residents to dangerous levels of lead, culminating in an emergency declaration in October 2015. This paper examines the impact of this crisis on the Flint housing market. The value of Flint's housing stock has fallen by $520M to $559M despite over $400M in remediation spending. Home prices remain depressed through August 2019, sixteen months after the water was declared safe for consumption.
Scope of Project
Subject Terms:
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drinking water;
pollution;
lead;
Flint;
crisis
JEL Classification:
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H12 Crisis Management
H41 Public Goods
Q51 Valuation of Environmental Effects
Q58 Environmental Economics: Government Policy
R31 Housing Supply and Markets
H12 Crisis Management
H41 Public Goods
Q51 Valuation of Environmental Effects
Q58 Environmental Economics: Government Policy
R31 Housing Supply and Markets
Geographic Coverage:
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Michigan,
Ohio,
New Jersey,
Indiana,
Connecticut
Time Period(s):
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1/2006 – 8/2019
Data Type(s):
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administrative records data;
aggregate data;
census/enumeration data;
event/transaction data;
geographic information system (GIS) data;
observational data
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