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dc.contributor.advisorRobert M. Townsend.en_US
dc.contributor.authorZhang, Nicolas Xuan-Yi.en_US
dc.contributor.otherMassachusetts Institute of Technology. Institute for Data, Systems, and Society.en_US
dc.contributor.otherTechnology and Policy Program.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2021-05-24T20:24:11Z
dc.date.available2021-05-24T20:24:11Z
dc.date.copyright2021en_US
dc.date.issued2021en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/130798
dc.descriptionThesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, February, 2021en_US
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2021en_US
dc.descriptionCataloged from the official PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 116-121).en_US
dc.description.abstractEncryption - the process of encoding information - mitigates the damage that comes from obstacles to exchange: private information, limited communication, and limited commitment. Here I would emphasize specifically that encryption is a way to implement optimized solutions to bilateral and multi-agent mechanism design problems as smart contracts. To illustrate how such encryption schemes could be relevant to economic applications, I first revisit "classical" problems such as auction design with private values, constrained-optimal hybrid insurance and credit schemes for markets suffering from liquidity problem. The common thread in each of these applications is that messages are kept secret from other agents in a contract and from third parties, communication channels are optimized, and data are secured and immutable. Agents can commit to arrangements and to the way they are implemented, without inconsistencies, even in evolving situations where they would have liked to renege.en_US
dc.description.abstractI make use in particular of homomorphic encryption, HE, and multi-party computation, MPC, which I will describe in details in the text and concretely implement. I will first decompose and examine the different technological components of encryption, to, by "translating them" into individual tools that I implement for the aforementioned cases, present here a "cookbook" on how to use cryptography technologies to implement mechanism design solutions. I will always keep in mind the various possible combinations of technologies and the engineering trade-offs associated to each, in the hope that economic and policy designers will be able to adapt these recipes to design new solutions to the problems they will be facing. I then provide a more in-depth example of an "end to end" treatment of a complex economic topic, that of fiat monetary anchoring.en_US
dc.description.abstractI will model it using our mechanism design framework, calibrate it through empirical analysis, and propose concrete policies and designs, leveraging encryption.en_US
dc.description.statementofresponsibilityby Nicolas Xuan-Yi Zhang.en_US
dc.format.extent121 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.subjectInstitute for Data, Systems, and Society.en_US
dc.subjectTechnology and Policy Program.en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleEncryption to implement mechanism design solutionsen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Technology and Policyen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Societyen_US
dc.contributor.departmentTechnology and Policy Programen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc1252202600en_US
dc.description.collectionS.M.inTechnologyandPolicy Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Programen_US
dc.description.collectionS.M. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2021-05-24T20:24:11Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentTPPen_US
mit.thesis.departmentESDen_US
mit.thesis.departmentIDSSen_US
mit.thesis.departmentEECSen_US


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