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http://hdl.handle.net/11375/20622
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DC Field | Value | Language |
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dc.contributor.advisor | Racine, Jeffrey | - |
dc.contributor.author | Kealey, John | - |
dc.date.accessioned | 2016-10-05T19:07:52Z | - |
dc.date.available | 2016-10-05T19:07:52Z | - |
dc.date.issued | 2016-11 | - |
dc.identifier.uri | http://hdl.handle.net/11375/20622 | - |
dc.description.abstract | In 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.iso | en | en_US |
dc.subject | stochastic frontier | en_US |
dc.subject | robust frontier | en_US |
dc.subject | firm-level productivity | en_US |
dc.subject | semiparametric and nonparametric estimation | en_US |
dc.subject | production function | en_US |
dc.title | Econometric Analysis of Firm-level Production Data | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Economics | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Doctor of Philosophy (PhD) | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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Kealey_John_M_September_2016_PhD_Economics.pdf | 1.97 MB | Adobe PDF | View/Open |
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