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Estimating the Demand for Air Quality: New Evidence Based on the Chicago Housing Market

Chattopadhyay, Sudip·1999·Land Economics

Abstract

This paper combines a new, large household-level data set with the two-stage hedonic- estimation technique to derive new estimates of willingness to pay (WTP) for reduced air pollution. The WTP estimates are found robust against functional-form specification. Marginal WTP estimates for a reduction in particulate matter (PM-10) are found to be quite comparable with some previous estimates. Benefits of nonmarginal changes exhibit consistently higher monetary returns in the case of PM-10 than in the case of SO2, signifying that households dislike particulate pollution more than they do sulfur.

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Metadata

Authors
Chattopadhyay, S.
Venue
Land Economics
Published
1999-02
Volume
75
Issue
1
Pages
22
ISSN
0023-7639 (ISSN-L)
OpenAlex
W1481664197
Cited by
172
References
0
FWCI
9.59
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Estimating the Demand for Air Quality: New Evidence Based on the Chicago Housing Market. https://app.cochat.ai/papers/10.2307/3146991
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Chattopadhyay, S. (1999). Estimating the Demand for Air Quality: New Evidence Based on the Chicago Housing Market. Land Economics. https://doi.org/10.2307/3146991

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.