<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href='static/style.xsl' type='text/xsl'?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-18T21:12:07Z</responseDate><request verb="GetRecord" identifier="oai:ecommons.cornell.edu:1813/67479" metadataPrefix="dim">https://ecommons.cornell.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:ecommons.cornell.edu:1813/67479</identifier><datestamp>2026-05-15T19:42:25Z</datestamp><setSpec>com_1813_57466</setSpec><setSpec>com_1813_57353</setSpec><setSpec>com_1813_11653</setSpec><setSpec>com_1813_35</setSpec><setSpec>col_1813_57468</setSpec><setSpec>col_1813_47</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="author">Han, Congyan</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2019-10-15T16:46:55Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="issued">2019-08-30</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="doi">https://doi.org/10.7298/j09j-7a81</dim:field>
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   <dim:field mdschema="dc" element="description" qualifier="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.</dim:field>
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   <dim:field mdschema="dc" element="title">UNDERSTANDING MISSING DATA IN REAL-TIME POLLUTION MONITORING SYSTEM IN CHINA</dim:field>
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   <dim:field mdschema="thesis" element="degree" qualifier="name">M.S., Applied Economics and Management</dim:field>
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   	&lt;Title>UNDERSTANDING MISSING DATA IN REAL-TIME POLLUTION MONITORING SYSTEM IN CHINA&lt;/Title>
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   	&lt;PublicationDate>2019-08-30&lt;/PublicationDate>
   	&lt;DOI>https://doi.org/10.7298/j09j-7a81&lt;/DOI>
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    &lt;Keyword>Economics&lt;/Keyword>
   	&lt;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.&lt;/Abstract>
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