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dc.contributor.advisorGlenn Ellison and Nikhil Agarwal.en_US
dc.contributor.authorLiu, David (David Jing)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Economics.en_US
dc.date.accessioned2018-09-17T15:55:07Z
dc.date.available2018-09-17T15:55:07Z
dc.date.copyright2018en_US
dc.date.issued2018en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/118045
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Economics, 2018.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 93-95).en_US
dc.description.abstractThis thesis consists of three empirical essays in industrial organization. The first chapter examines the welfare effects of intertemporal price discrimination in market for airfare using a novel structural model of dynamic consumer search. I model how consumers search for airline tickets over time using data gathered from an internet travel agent. My model features sophisticated consumers with rational beliefs about future price movements who make optimal decisions based on their beliefs. Using data on daily price and quantity in monopoly markets, I estimate the demand for airfare and calculate consumer welfare. I compare welfare to a counterfactual market in which airlines cannot price discriminate. The second chapter quantifies the impact of company-wide incentive plans on total company performance. I identify five airlines that have introduced employee incentive programs that offer monthly bonuses to all company employees as long as the company achieves a certain performance level in flight on-time performance. I present evidence that these programs are effective at increasing employee performance in spite of the temptation to be a free rider. My analysis uses Mahalanobis matching to compare each route's performance with the best matching control flight, taking advantage of the large volume of flight data available. In the third chapter I examine the role of reputation in an online marketplace that specializes in unreliable products. Using data gathered from video game resale platform G2A, I examine how buyers and sellers utilize the wide array of reputation information available. I find that buyers on this platform have an understanding of their probability of encountering a negative transaction and will utilize more reputation information in less reliable markets.en_US
dc.description.statementofresponsibilityby David Liu.en_US
dc.format.extent95 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEconomics.en_US
dc.titleEssays in industrial organizationen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Economics
dc.identifier.oclc1051459278en_US


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