<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.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>2026-09-19T22:34:21Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/129362" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/129362</identifier><datestamp>2026-06-17T14:44:28Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131022</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="advisor" lang="en_US">Sinan Aral.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Zhao, MichaelPh. D.Massachusetts Institute of Technology.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2021-01-11T17:19:39Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2020</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2020</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/129362</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1227097460</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, September, 2020</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 123-127).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">In this thesis, I address spillover effects in digital media across 3 different essays. In Chapter 1, I focus on estimating social spillovers in the consumption of online news. Exploiting regional rainfall as a natural experiment, I find strong statistical evidence of positive social spillovers in consumption of online New York Times content. Specifically, I find that a 1% increase in aggregate viewership outside of a focal region causes viewership in that region to increase by approximately 0.34%. Further analysis shows that these spillover effects are skewed toward the most popular content and are driven by social media sharing rather than search engines or news aggregators. In Chapter 2, I estimate the spillover effect of paid advertising on organic mobile app installations. I analyze a spend shutoff "experiment" conducted by GameSpace, a major US-based mobile game developer.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Using both difference-in-differences (DiD) and regression discontinuity in time (RDiT) approaches, I surprisingly find evidence that paid advertising is boosting organic installs. Moreover, a two-way fixed effects panel regression indicates that every $100 in spend is associated with approximately 4 organic installs and 34.4 paid installs --</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">estimates that are quantitatively consistent with our RDiT results. In Chapter 3, I investigate spillover effects of statewide social distancing policies and reopenings during the COVID-19 pandemic on mobility behavior. Specifically, I find that if all alter states implement a shelter-in-place order, an ego county's mobility decreases by 15- 20%. Alter state reopenings have similarly large but opposite effect: once all alter states reopen, ego county mobility increases by 19-32%. These statewide policies also have a major impact on interstate travel: when a destination county is subject to a shelter-in-place order, its out-of-state traffic decreases by 13-18% but only for distant counties. However, once reopened, traffic from both nearby and distant counties increases by 12-13%.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Michael Zhao.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="collection" lang="en_US">Ph.D. Massachusetts Institute of Technology, Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">127 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Essays on spillover effects in digital media</dim:field>
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   	&lt;Title>Essays on spillover effects in digital media&lt;/Title>
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   	&lt;PublicationDate>2020&lt;/PublicationDate>
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        	&lt;DisplayName>Zhao, MichaelPh. D.Massachusetts Institute of Technology.&lt;/DisplayName>
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   	&lt;Abstract>In this thesis, I address spillover effects in digital media across 3 different essays. In Chapter 1, I focus on estimating social spillovers in the consumption of online news. Exploiting regional rainfall as a natural experiment, I find strong statistical evidence of positive social spillovers in consumption of online New York Times content. Specifically, I find that a 1% increase in aggregate viewership outside of a focal region causes viewership in that region to increase by approximately 0.34%. Further analysis shows that these spillover effects are skewed toward the most popular content and are driven by social media sharing rather than search engines or news aggregators. In Chapter 2, I estimate the spillover effect of paid advertising on organic mobile app installations. I analyze a spend shutoff &amp;quot;experiment&amp;quot; conducted by GameSpace, a major US-based mobile game developer.&lt;/Abstract>
   	&lt;Abstract>Using both difference-in-differences (DiD) and regression discontinuity in time (RDiT) approaches, I surprisingly find evidence that paid advertising is boosting organic installs. Moreover, a two-way fixed effects panel regression indicates that every $100 in spend is associated with approximately 4 organic installs and 34.4 paid installs --&lt;/Abstract>
   	&lt;Abstract>estimates that are quantitatively consistent with our RDiT results. In Chapter 3, I investigate spillover effects of statewide social distancing policies and reopenings during the COVID-19 pandemic on mobility behavior. Specifically, I find that if all alter states implement a shelter-in-place order, an ego county&amp;apos;s mobility decreases by 15- 20%. Alter state reopenings have similarly large but opposite effect: once all alter states reopen, ego county mobility increases by 19-32%. These statewide policies also have a major impact on interstate travel: when a destination county is subject to a shelter-in-place order, its out-of-state traffic decreases by 13-18% but only for distant counties. However, once reopened, traffic from both nearby and distant counties increases by 12-13%.&lt;/Abstract>
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