{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/22378"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/22378","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"\"Sequential analysis of duration data with application to \"\"reemployment bonus\"\" experiments\"","abstract":"\"Suitable methodology and an asymptotic theory for the sequential analysis of time-to-event (duration) data is developed and its application in \"\"Reemployment Bonus\"\" experiments is studied.\"","abstract_html":""Suitable methodology and an asymptotic theory for the sequential analysis of time-to-event (duration) data is developed and its application in ""Reemployment Bonus"" experiments is studied."","abstract_has_math":false,"creators":["Bilias, Yannis"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Economics","degree_department":null,"school":null,"contributors":["Koenker, Roger W."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-05-07T13:37:57Z","date_published":"2011-05-07T13:37:57Z","updated_at":"2026-07-22T22:25:19Z","subjects":["Statistics","Economics, Labor","Economics, Theory"],"languages":["eng"],"rights":["Copyright 1995 Bilias, Yannis"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["AAI9624289","(UMI)AAI9624289"],"render_values":[{"text":"AAI9624289","href":null,"code":true},{"text":"(UMI)AAI9624289","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/22378","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Koenker, Roger W."]},{"key":"dc:creator","label":"Author","values":["Bilias, Yannis"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011-05-07T13:37:57Z","10000-01-01","1995"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"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":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Statistics","Economics, Labor","Economics, Theory"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 1995 Bilias, Yannis"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["AAI9624289","(UMI)AAI9624289","http://hdl.handle.net/2142/22378"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["\"Suitable methodology and an asymptotic theory for the sequential analysis of time-to-event (duration) data is developed and its application in \"\"Reemployment Bonus\"\" experiments is studied.\"","First, a proportional hazards regression model with possibly censored observations, time-dependent covariates and staggered entry is assumed. Sequential analysis of the partial likelihood score process and other related statistics cannot rely on martingale theory. Instead a modern empirical process theory is used to deal with the underlying two-dimensional character of the problem. A very general treatment of the large sample theory with minimum technicalities is made developed.","\"Next, sequential testing procedures for the analysis of duration data are employed to reconsider the Pennsylvania \"\"Reemployment Bonus\"\" Demonstration. The efficiency and flexibility gained by the monitoring of large-scale experiments is illustrated. Boundaries that preserve the overall type-I error are constructed based on the asymptotic theory developed previously. Several treatments show their efficacy earlier than the termination day dictated by the fixed-sample design. Stopping the study at that time would have achieved important pecuniary savings.\"","Last, techniques developed earlier are applied to test statistics arising from the analysis of right-truncated data in which both the duration and calendar time are naturally involved. Asymptotic theory for the one-sample and the regression problems is established.","Made available in DSpace on 2011-05-07T13:37:57Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9624289.pdf: 5873134 bytes, checksum: 8dea8c6c3f65515358650c7191043ab1 (MD5) Previous issue date: 1995","Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:57:13Z Item is restricted indefinitely.","Restriction data tranferred 2014-07-01T11:26:49-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission","ETDs are only available to UIUC Users without author permission","U of I Only"]},{"key":"dc:title","label":"Title","values":["\"Sequential analysis of duration data with application to \"\"reemployment bonus\"\" experiments\""]}]}],"canonical_facts":{"dc:contributor":["Koenker, Roger W."],"dc:creator":["Bilias, Yannis"],"dc:date":["2011-05-07T13:37:57Z","10000-01-01","1995"],"dc:description":["\"Suitable methodology and an asymptotic theory for the sequential analysis of time-to-event (duration) data is developed and its application in \"\"Reemployment Bonus\"\" experiments is studied.\"","First, a proportional hazards regression model with possibly censored observations, time-dependent covariates and staggered entry is assumed. Sequential analysis of the partial likelihood score process and other related statistics cannot rely on martingale theory. Instead a modern empirical process theory is used to deal with the underlying two-dimensional character of the problem. A very general treatment of the large sample theory with minimum technicalities is made developed.","\"Next, sequential testing procedures for the analysis of duration data are employed to reconsider the Pennsylvania \"\"Reemployment Bonus\"\" Demonstration. The efficiency and flexibility gained by the monitoring of large-scale experiments is illustrated. Boundaries that preserve the overall type-I error are constructed based on the asymptotic theory developed previously. Several treatments show their efficacy earlier than the termination day dictated by the fixed-sample design. Stopping the study at that time would have achieved important pecuniary savings.\"","Last, techniques developed earlier are applied to test statistics arising from the analysis of right-truncated data in which both the duration and calendar time are naturally involved. Asymptotic theory for the one-sample and the regression problems is established.","Made available in DSpace on 2011-05-07T13:37:57Z (GMT). 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