{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T07:11:54Z","timestamp":1788592314611,"version":"build-2803163510"},"reference-count":42,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2023,7,26]],"date-time":"2023-07-26T00:00:00Z","timestamp":1690329600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100010663","name":"European Research Council","doi-asserted-by":"publisher","award":["694409"],"award-info":[{"award-number":["694409"]}],"id":[{"id":"10.13039\/100010663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,2,22]]},"abstract":"<jats:title>Summary<\/jats:title>\n               <jats:p>This paper studies a semiparametric quantile regression model with endogenous variables and random right censoring. The endogeneity issue is solved using instrumental variables. It is assumed that the structural quantile of the logarithm of the outcome variable is linear in the covariates and censoring is independent. The regressors and instruments can be either continuous or discrete. The specification generates a continuum of equations\u00a0of which the quantile regression coefficients are a solution. Identification is obtained when this system of equations\u00a0has a unique solution. Our estimation procedure solves an empirical analogue of the system of equations. We derive conditions under which the estimator is asymptotically normal and prove the validity of a bootstrap procedure for inference. The finite sample performance of the approach is evaluated through numerical simulations. An application to the national Job Training Partnership Act study illustrates the method.<\/jats:p>","DOI":"10.1093\/ectj\/utad015","type":"journal-article","created":{"date-parts":[[2023,7,27]],"date-time":"2023-07-27T05:07:29Z","timestamp":1690434449000},"page":"21-36","source":"Crossref","is-referenced-by-count":2,"title":["Instrumental variable quantile regression under random right censoring"],"prefix":"10.1093","volume":"27","author":[{"given":"Jad","family":"Beyhum","sequence":"first","affiliation":[{"name":"Faculty of Economics and Business , KU Leuven, Naamsestraat 69, Leuven, 3000, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lorenzo","family":"Tedesco","sequence":"additional","affiliation":[{"name":"Faculty of Economics and Business , KU Leuven, Naamsestraat 69, Leuven, 3000, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ingrid","family":"Van\u00a0Keilegom","sequence":"additional","affiliation":[{"name":"Faculty of 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