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This paper investigates the effect of air pollution on real-estate price in Tehran for the period (2013-14) and (2018-19). By combining microdata of real-estate transactions for more than 50,000 units that are traded multiple times during the period of study, the pollution index is constructed for each house by using the air pollution index from various stations in Tehran. Using this dataset, the effect of different pollutants on house prices is estimated. The findings show that particulate matter (PM 2.5 index) decreases house prices in Tehran, such that one standard deviation increase in the PM 2.5 index reduces house price by 3.1 percent. Moreover, there is no significant effect of NO 2 and CO pollutants, which can be due to their unobservability in air, their trivial instant effect on health, and the insignificance of these pollutants in determining the final index.
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Bahadori et al. (2022) studied this question.
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