Assessing causal effects in a longitudinal observational study with "truncated" outcomes due to unemployment and nonignorable missing data
Year of publication: |
2022
|
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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 | Schätzung | Estimation | Deutschland | Germany | Theorie | Theory |
Description of contents: | Description [tandfonline.com] |
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