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.
","abstract_html":"<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>","abstract_has_math":false,"creators":["Yang, Yi"],"institution":null,"degree_name":"Doctor of Philosophy (PhD)","degree_level":"Dissertation","degree_discipline":"Economics","degree_department":null,"school":null,"contributors":["William C. Horrace","Wei Li"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-05-22T07:00:00Z","date_published":"2021-05-22T07:00:00Z","updated_at":"2026-07-24T04:56:04Z","subjects":["Economics","Social and Behavioral Sciences"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://surface.syr.edu/etd/1336","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["William C. Horrace","Wei Li"]},{"key":"dc:creator","label":"Author","values":["Yang, Yi"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Economics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy (PhD)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Economics","Social and Behavioral Sciences"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://surface.syr.edu/etd/1336"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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.
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