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Syracuse University
The Conditional Mode Estimator Of Technical Efficiency: Theory And Application To Nyc Public Schools
Abstract
dc:description.abstract<p>This dissertation studies the properties of the conditional mode estimator of stochastic frontier models and applies it to measure technical inefficiency. It consists of two chapters. The first chapter analyzes the conditional mode estimator’s closed-form expressions, convergence, near-minimax optimality when interpreted using Lasso, and selection rules. The second chapter applies the true fixed effect stochastic frontier model (Greene, 2005a,b) to analyze the persistent and transient technical inefficiencies of 425 NYC public middle schools for cohorts of students that graduated between 2014 to 2016.</p>
Degree
thesis:*- Name thesis:degree_name
- Doctor of Philosophy (PhD)
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Economics
- Year
- 2021
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Yang, Yi
- Contributors dc:contributor
-
- William C. Horrace
- Wei Li
Subjects
dc:subject × 2Identifiers
dc:identifier.*- Repository record dc:identifier
- https://surface.syr.edu/etd/1336
- OAI identifier oai:identifier
- oai:surface.syr.edu:etd-2337