Nonparametric instrumental regression with right censored duration outcomes
Year of publication: |
2022
|
---|---|
Authors: | Beyhum, Jad ; Florens, Jean-Pierre ; Van Keilegom, Ingrid |
Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Abingdon : Taylor & Francis, ISSN 1537-2707, ZDB-ID 2043744-4. - Vol. 40.2022, 3, p. 1034-1045
|
Subject: | Duration Models | Endogeneity | Instrumental variable | Nonseparability | Partial identification | Nichtparametrisches Verfahren | Nonparametric statistics | IV-Schätzung | Instrumental variables | Dauer | Duration | Statistische Bestandsanalyse | Duration analysis | Schätztheorie | Estimation theory | Regressionsanalyse | Regression analysis |
-
Nonparametric instrumental regression with right censored duration outcomes
Beyhum, Jad, (2020)
-
Instrumental variable estimation of dynamic treatment effects on a duration outcome
Beyhum, Jad, (2024)
-
Estimation of conditional ranks and tests of exogeneity in nonparametric nonseparable models
Fève, Frédérique, (2018)
- More ...
-
Nonparametric instrumental regression with right censored duration outcomes
Beyhum, Jad, (2020)
-
Testing for homogeneous treatment effects in linear and nonparametric instrumental variable models
Beyhum, Jad, (2024)
-
Instrumental variable estimation of dynamic treatment effects on a duration outcome
Beyhum, Jad, (2024)
- More ...