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On the density estimation of air pollution in Beijing

Yanqin Fan, Lei Hou and Karen Yan

Economics Letters, 2018, vol. 163, issue C, 110-113

Abstract: We apply both the kernel method and the k-nearest neighbor (k-nn) method to estimate the density of air pollutant PM2.5 in Beijing. We find that the k-nn method accommodates the data better and delivers a more reasonable density estimate than the kernel method. Then we compare the density estimates between summer and winter, rush and non-rush hours. Results suggest that the air pollution is more serious in winter and rush hours.

Keywords: Density estimation; k-nn method; Air pollution (search for similar items in EconPapers)
JEL-codes: C13 C14 (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:163:y:2018:i:c:p:110-113

DOI: 10.1016/j.econlet.2017.12.020

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