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. / Thesis / Doctor of Philosophy (PhD)
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/20622 |
| Date | 11 1900 |
| Creators | Kealey, John |
| Contributors | Racine, Jeffrey, Economics |
| Source Sets | McMaster University |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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