Estimating the Effect of Paywalls in Media Economics: An Application of Empirical IO, Machine Learning, and NLP Methods

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dc.contributor.advisorSickles, Robin
dc.creatorNgo, Van Thi Tuong
dc.date.accessioned2020-04-20T15:10:08Z
dc.date.available2020-04-20T15:10:08Z
dc.date.created2020-05
dc.date.issued2020-04-15
dc.date.submittedMay 2020
dc.date.updated2020-04-20T15:10:09Z
dc.description.abstractMedia firms such as newspapers compete in a two-sided market, one between content providers and news consumers while the other between content providers and advertisers. I examine the impact of online subscription and advertisement revenues on newspapers' endogenous content choice. An analytical model demonstrates that switching from a subscription to advertising revenue model changes firms' horizontally differentiated content choice. Additionally, I provide an empirical analysis of U.S. digital newspapers and evaluate a structural model of supply and demand. An application of web scraping, Natural Language Processing (NLP), and Machine Learning for data collection and data analysis is presented. The counterfactual estimation suggests that a subscription-based model improves firms' profits.
dc.format.mimetypeapplication/pdf
dc.identifier.citationNgo, Van Thi Tuong. "Estimating the Effect of Paywalls in Media Economics: An Application of Empirical IO, Machine Learning, and NLP Methods." (2020) Diss., Rice University. <a href="https://hdl.handle.net/1911/108331">https://hdl.handle.net/1911/108331</a>.
dc.identifier.urihttps://hdl.handle.net/1911/108331
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectMedia Economics
dc.subjectIndustrial Organization
dc.subjectadvertising
dc.subjectstructural model
dc.subjectbig data
dc.subjecttext analysis
dc.subjectNatural Language Processing (NLP)
dc.subjectneural networks
dc.subjectsupport vector machine (SVM)
dc.subjecttopic modeling
dc.titleEstimating the Effect of Paywalls in Media Economics: An Application of Empirical IO, Machine Learning, and NLP Methods
dc.typeThesis
dc.type.materialText
thesis.degree.departmentEconomics
thesis.degree.disciplineSocial Sciences
thesis.degree.grantorRice University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy
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