Econometric Analysis of Firm-level Production Data
| dc.contributor.advisor | Racine, Jeffrey | |
| dc.contributor.author | Kealey, John | |
| dc.contributor.department | Economics | en_US |
| dc.date.accessioned | 2016-10-05T19:07:52Z | |
| dc.date.available | 2016-10-05T19:07:52Z | |
| dc.date.issued | 2016-11 | |
| 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.description.degree | Doctor of Philosophy (PhD) | en_US |
| dc.description.degreetype | Thesis | en_US |
| dc.identifier.uri | http://hdl.handle.net/11375/20622 | |
| 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 |