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dc.contributor.advisorErik Brynjolfsson.en_US
dc.contributor.authorCollis, Avinash.en_US
dc.contributor.otherSloan School of Management.en_US
dc.date.accessioned2020-09-03T16:47:06Z
dc.date.available2020-09-03T16:47:06Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/126980
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, June, 2020en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.description.abstractGross domestic product (GDP) measures production and is not meant to measure well-being. While many people nonetheless use GDP as a proxy for well-being, consumer surplus is a better measure of consumer well-being. This is increasingly true in the digital economy where many digital goods have zero price and as a result, the welfare gains from these goods are not reflected in GDP or productivity statistics. Chapter 1 proposes a way of directly measuring consumer's economic well-being using massive online choice experiments. It finds that digital goods generate a large amount of consumer surplus that is currently not captured in GDP. For example, the median Facebook user needed a compensation of around $48 to give it up for a month. Building up on these results, Chapter 2 extends the GDP framework to include welfare gains from new and free goods and construct a new metric called GDP-B, where B stands for benefits. It finds that including the welfare gains from Facebook would have added between 0.05 and 0.11 percentage points to GDP-B growth per year in the US. Chapter 3 proposes a way of measuring network effects on multi-sided platforms using choice experiments. It also models digital platforms allowing for heterogeneity in demand elasticity and network effects across users of different types. It then calibrates the model using an empirical application to Facebook and simulates six different taxation and regulatory policies. Chapter 4 looks at the impact of social media on subjective well-being and academic performance through a randomized controlled trial of University students. Chapter 5 summarizes the research agenda moving forward and concludes with a framework for measuring different aspects of well-being in the digital economy.en_US
dc.description.statementofresponsibilityby Avinash Collis.en_US
dc.format.extent227 pages (unnumbered)en_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.subjectSloan School of Management.en_US
dc.titleHow should we measure the digital economy?en_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentSloan School of Managementen_US
dc.identifier.oclc1191222397en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, Sloan School of Managementen_US
dspace.imported2020-09-03T16:47:05Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentSloanen_US


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