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dc.contributor.advisor Sickles, Robin
dc.creatorAdams, Robert Matthew
dc.date.accessioned 2009-06-04T08:15:17Z
dc.date.available 2009-06-04T08:15:17Z
dc.date.issued 1997
dc.identifier.urihttps://hdl.handle.net/1911/19124
dc.description.abstract New semiparametric panel estimation methods have been developed, which make minimal distributional or functional form assumptions on the model. These estimators are illustrated in an efficiency analysis of the banking industry. This analysis finds that functional form and distributional assumptions are important in efficiency estimation. Moreover, models of time varying efficiency are relevant and indicate productivity movements in the banking industry.
dc.format.extent 83 p.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subjectEconomics
Finance
Economic theory
Banking
Business administration
dc.title Essays on semiparametric estimation and structural modeling with applications in the banking industry
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Economics
thesis.degree.discipline Social Sciences
thesis.degree.grantor Rice University
thesis.degree.level Doctoral
thesis.degree.name Doctor of Philosophy
dc.identifier.citation Adams, Robert Matthew. "Essays on semiparametric estimation and structural modeling with applications in the banking industry." (1997) Diss., Rice University. https://hdl.handle.net/1911/19124.


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