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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/20622
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dc.contributor.advisorRacine, Jeffrey-
dc.contributor.authorKealey, John-
dc.date.accessioned2016-10-05T19:07:52Z-
dc.date.available2016-10-05T19:07:52Z-
dc.date.issued2016-11-
dc.identifier.urihttp://hdl.handle.net/11375/20622-
dc.description.abstractIn this dissertation, I explore a variety of methods for the econometric analysis of firm-level production data. Three distinct approaches are considered, namely i) proxy variable methods of controlling for unobservable productivity, ii) data envelopment techniques for estimating the boundary of a production set, and iii) stochastic frontier methods for estimating the productive inefficiency of firms. Much of the focus is on semiparametric and nonparametric estimators that allow for a highly flexible specification of the function that relates input combinations to output quantities.en_US
dc.language.isoenen_US
dc.subjectstochastic frontieren_US
dc.subjectrobust frontieren_US
dc.subjectfirm-level productivityen_US
dc.subjectsemiparametric and nonparametric estimationen_US
dc.subjectproduction functionen_US
dc.titleEconometric Analysis of Firm-level Production Dataen_US
dc.typeThesisen_US
dc.contributor.departmentEconomicsen_US
dc.description.degreetypeThesisen_US
dc.description.degreeDoctor of Philosophy (PhD)en_US
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