A framework for eliciting, incorporating, and disciplining identification beliefs in linear models
Francis J. DiTraglia and Camilo García-Jimeno
| Year of publication: |
2021
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| Authors: | DiTraglia, Francis J. ; García Jimeno, Camilo |
| 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. 39.2021, 4, p. 1038-1053
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| Subject: | Bayesian econometrics | Beliefs | Instrumental variables | Measurement error | Partial identification | Statistischer Fehler | Statistical error | Schätztheorie | Estimation theory | Ökonometrie | Econometrics | Lineare Regression | Linear regression | Modellierung | Scientific modelling | IV-Schätzung | Wirkungsanalyse | Impact assessment | Bayes-Statistik | Bayesian inference | Validierung | Validation |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/07350015.2020.1753528 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012653223