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dc.contributor.advisorAlberto Abadie and Drew Fudenberg.en_US
dc.contributor.authorLi, Kevin Kainan.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Economics.en_US
dc.date.accessioned2021-05-24T20:23:01Z
dc.date.available2021-05-24T20:23:01Z
dc.date.copyright2021en_US
dc.date.issued2021en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/130757
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Economics, February, 2021en_US
dc.descriptionCataloged from the official PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 137-142).en_US
dc.description.abstractThis thesis consists of three chapters. The first chapter extends the recent result of Athey and Wager on the asymptotic normality of random forest estimators to a multivariate setting; in particular, we examine stability properties and bounds for certain classes of tree estimators, and provide guidance and heuristics that make our results useful for practitioners. The second chapter studies a continuous-time principal-agent model for risky projects in which success is binary and not quantifiable. We consider optimal incentive contracts which feature two components: a flow payment that is paid out at each moment and a lump-sum bonus that is paid on project success. We characterize the optimal solution and calibrate our model to data on executive compensation. The final chapter studies speed and competition in trading venues, in particular those for illiquid markets. We show that differences in trading speeds among different venues lead to endogenous market segmentation, thus increasing trading volume and overall liquidity. We also examine equilibria and various notions of welfare in an entry game in which an entrant has the option to create a faster trading venue and compete against an incumbent.en_US
dc.description.statementofresponsibilityby Kevin Kainan Li.en_US
dc.format.extent142 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT 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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEconomics.en_US
dc.titleEssays on econometrics and economic theoryen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Economicsen_US
dc.identifier.oclc1252059262en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, Department of Economicsen_US
dspace.imported2021-05-24T20:23:01Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentEconen_US


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