Assessing causal effects in a longitudinal observational study with "truncated" outcomes due to unemployment and nonignorable missing data
Michela Bia, Alessandra Mattei, and Andrea Mercatanti
| Year of publication: |
2022
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|---|---|
| Authors: | Bia, Michela ; Mattei, Alessandra ; Mercatanti, Andrea |
| 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] |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/07350015.2020.1862672 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10013534220