UNDERSTANDING MISSING DATA IN REAL-TIME POLLUTION MONITORING SYSTEM IN CHINA

Using both remote sensing data on air pollution and publicly reported hourly PM2.5 data from ground-level monitoring stations, this paper examines whether the quality of the publicly reported PM2.5 is affected by selective reporting whereby high-level hourly pollution readings are dropped in the reported data. Our analysis shows that the contemporaneous level of air pollution measured by the Aerosol Optical Depth (AOD) has a negative relationship with the frequency of data missing. This relation- ship is weaker in dirty cities measured by the average AOD during the sample period and is reversed in very dirty cities.

Name thesis:degree_name

M.S., Applied Economics and Management

Level thesis:degree_level

Master of Science

Discipline thesis:degree_discipline

Applied Economics and Management

Grantor

Cornell University

Year dc:date.issued

2019

Author dc:creator

• Han, Congyan

• Economics

Language dc:language.iso

en_US

DOI

https://doi.org/10.7298/j09j-7a81

Dc Identifier Other

ProQuest Submission ID: 10639
ProQuest Publication ID: 22587009

OAI identifier oai:identifier

oai:ecommons.cornell.edu:1813/67479