Arbeitspapier
Identification of causal models with unobservables: A self-report approach
This paper presents a novel self-report approach to identify a general causal model with an unobserved covariate, which can be unobserved heterogeneity or an unobserved choice variable. It shows that a carefully designed noninvasive survey procedure can provide enough information to identify the complete causal model through the joint distribution of the observables and the unobservable. The global nonparametric point identification results provide sufficient conditions under which the joint distribution of four observables, two in a causal model and two from surveys, uniquely determines the joint distribution of the unobservable in the causal model and the four observables. The identification of such a joint distribution including the unobserved covariate implies that the complete causal model is identified.
- Sprache
-
Englisch
- Erschienen in
-
Series: cemmap working paper ; No. CWP30/21
- Klassifikation
-
Wirtschaft
Econometrics
Semiparametric and Nonparametric Methods: General
- Thema
-
Causal model
Measurement error model
Nonparametric identification
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Hu, Yingyao
- Ereignis
-
Veröffentlichung
- (wer)
-
Centre for Microdata Methods and Practice (cemmap)
- (wo)
-
London
- (wann)
-
2021
- DOI
-
doi:10.47004/wp.cem.2021.3021
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Hu, Yingyao
- Centre for Microdata Methods and Practice (cemmap)
Entstanden
- 2021
Ähnliche Objekte (12)
Bayesian TWAS: a causal inference approach
Finite quantum electrodynamics : the causal approach
Proxy Variables and Nonparametric Identification of Causal Effects
Proxy variables and nonparametric identification of causal effects
Causal explanations - how to generate, identify, and evaluate them : a causal model approach augmented with causal powers
Causal weak consistency replication : a systems approach
Scientific realism in particle physics : a causal approach
Identification of causal effects on binary outcomes using structural mean models
Identification of Causal Mechanisms Based on Between-Subject Double Randomization Design
Identification of causal intensive margin effects by difference-in-difference methods
Identification of Causal Mechanisms Based on Between-Subject Double Randomization Designs
Identification of causal mechanisms based on between-subject double randomization designs
Bayesian TWAS: a causal inference approach
Finite quantum electrodynamics : the causal approach
Proxy Variables and Nonparametric Identification of Causal Effects
Proxy variables and nonparametric identification of causal effects
Causal explanations - how to generate, identify, and evaluate them : a causal model approach augmented with causal powers
Causal weak consistency replication : a systems approach
Scientific realism in particle physics : a causal approach
Identification of causal effects on binary outcomes using structural mean models
Identification of Causal Mechanisms Based on Between-Subject Double Randomization Design
Identification of causal intensive margin effects by difference-in-difference methods
Identification of Causal Mechanisms Based on Between-Subject Double Randomization Designs
Identification of causal mechanisms based on between-subject double randomization designs
Bayesian TWAS: a causal inference approach
Finite quantum electrodynamics : the causal approach
Proxy Variables and Nonparametric Identification of Causal Effects
Proxy variables and nonparametric identification of causal effects
Causal explanations - how to generate, identify, and evaluate them : a causal model approach augmented with causal powers
Causal weak consistency replication : a systems approach
Scientific realism in particle physics : a causal approach
Identification of causal effects on binary outcomes using structural mean models
Identification of Causal Mechanisms Based on Between-Subject Double Randomization Design
Identification of causal intensive margin effects by difference-in-difference methods
Identification of Causal Mechanisms Based on Between-Subject Double Randomization Designs