UNDERSTANDING MISSING DATA IN REAL-TIME POLLUTION MONITORING SYSTEM IN CHINA
| dc.contributor.author | Han, Congyan | |
| dc.date.accessioned | 2019-10-15T16:46:55Z | |
| dc.date.available | 2019-10-15T16:46:55Z | |
| dc.date.issued | 2019-08-30 | |
| dc.description.abstract | 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. | |
| dc.identifier.doi | https://doi.org/10.7298/j09j-7a81 | |
| dc.identifier.other | Han_cornell_0058O_10639 | |
| dc.identifier.other | http://dissertations.umi.com/cornell:10639 | |
| dc.identifier.other | bibid: 11050476 | |
| dc.identifier.uri | https://hdl.handle.net/1813/67479 | |
| dc.language.iso | en_US | |
| dc.subject | Economics | |
| dc.title | UNDERSTANDING MISSING DATA IN REAL-TIME POLLUTION MONITORING SYSTEM IN CHINA | |
| dc.type | dissertation or thesis | |
| dcterms.license | https://hdl.handle.net/1813/59810 | |
| thesis.degree.discipline | Applied Economics and Management | |
| thesis.degree.grantor | Cornell University | |
| thesis.degree.level | Master of Science | |
| thesis.degree.name | M.S., Applied Economics and Management |
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