Assessing causal effects in a longitudinal observational study with "truncated" outcomes due to unemployment and nonignorable missing data
Year of publication: |
2022
|
---|---|
Authors: | Bia, Michela ; Mattei, Alessandra ; Mercatanti, Andrea |
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, 2, p. 718-729
|
Subject: | Bayesian inference | Defiers | Principal stratification | Reservation wage | Training programs | Unconfoundedness | Arbeitslosigkeit | Unemployment | Bayes-Statistik | Anspruchslohn | Kausalanalyse | Causality analysis | Deutschland | Germany | Schätzung | Estimation | Theorie | Theory |
Description of contents: | Description [tandfonline.com] |
-
Selektionsverzerrungen, erfragte Reservationslöhne und Arbeitslosigkeitsdauer
Christensen, Björn, (2003)
-
Estimating duration dependence on re-employment wages when reservation wages are binding
Hernandez Martinez, Victor, (2023)
-
Die Lohnansprüche deutscher Arbeitsloser : Determinanten und Auswirkungen von Reservationslöhnen
Christensen, Björn, (2005)
- More ...
-
Evaluation of Language Training Programs in Luxembourg Using Principal Stratification
Bia, Michela, (2018)
-
Evaluation of language training programs in Luxembourg using principal stratification
Bia, Michela, (2018)
-
Evaluation of language training programs in Luxembourg using principal stratification
Bia, Michela, (2018)
- More ...