Negotiating housing deal on a polluted day : consequences and possible explanations

The topic of air pollution has drawn considerable attention globally. In this paper, we examine the immediate effect of air pollution on a substantial decision, that is, a housing purchase. By linking housing purchasing behavior with the air quality in Beijing, we document market participants'...

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Bibliographic Details
Main Authors: Qin, Yin, Wu, Jing, Yan, Jubo
Other Authors: School of Social Sciences
Format: Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/152757
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Institution: Nanyang Technological University
Language: English
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Summary:The topic of air pollution has drawn considerable attention globally. In this paper, we examine the immediate effect of air pollution on a substantial decision, that is, a housing purchase. By linking housing purchasing behavior with the air quality in Beijing, we document market participants' behaviors unexplained by rational economic theories. Our main result suggests that the transaction prices on a severely polluted day are 0.65% higher than those of the days without pollution, other things being equal. This translates into approximately 3.51 million yuan daily increase based on the average transaction volume and price on a typical day in Beijing. The heterogeneity analysis further suggests that this effect is mostly driven by non-local and low income buyers. After ruling out rational explanations, we demonstrate that our empirical results are consistent with salience theory under weak assumptions.