Arbeitspapier
Heterogeneous coefficients, control variables, and identification of treatment effects
Multidimensional heterogeneity and endogeneity are important features of models with multiple treatments. We consider a heterogeneous coefficients model where the outcome is a linear combination of dummy treatment variables, with each variable representing a different kind of treatment. We use control variables to give necessary and sufficient conditions for identification of average treatment effects. With mutually exclusive treatments we find that, provided the generalized propensity scores (Imbens, 2000) are bounded away from zero with probability one, a simple identification condition is that their sum be bounded away from one with probability one. These results generalize the classical identification result of Rosenbaum and Rubin (1983) for binary treatments.
- Language
-
Englisch
- Bibliographic citation
-
Series: cemmap working paper ; No. CWP45/20
- Classification
-
Wirtschaft
- Subject
-
Treatment effect
Multiple treatments
Heterogeneous coefficients
Control variable
Identification
Conditional nonsingularity
Propensity score
- Event
-
Geistige Schöpfung
- (who)
-
Newey, Whitney K.
Stouli, Sami
- Event
-
Veröffentlichung
- (who)
-
Centre for Microdata Methods and Practice (cemmap)
- (where)
-
London
- (when)
-
2020
- DOI
-
doi:10.47004/wp.cem.2020.4520
- Handle
- Last update
-
10.03.2025, 11:44 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Newey, Whitney K.
- Stouli, Sami
- Centre for Microdata Methods and Practice (cemmap)
Time of origin
- 2020
Other Objects (12)
Heterogeneous coefficients, control variables, and identification of multiple treatment effects
Heterogenous coefficients, discrete instruments, and identification of treatment effects
Nonparametric identification of random coefficients in endogenous and heterogeneous aggregate demand
Heterogeneous treatment effects: instrumental variables without monotonicity?
Heterogeneous treatment effects: instrumental variables without monotonicity?
Heterogeneous treatment effects: instrumental variables without monotonicity?
Heterogeneous treatment effects: instrumental variables without monotonicity?
Nonparametric identification of random coefficients in endogenous and heterogeneous aggregated demand models
Chapter VI. Linear Equations with Variable Coefficients.
Heterogeneous treatment effects with mismeasured endogenous treatment
Multi-scale model for transport coefficients in heterogeneous fractured media
Quasi maximum likelihood estimation of spatial models with heterogeneous coefficients
Heterogeneous coefficients, control variables, and identification of multiple treatment effects
Heterogenous coefficients, discrete instruments, and identification of treatment effects
Nonparametric identification of random coefficients in endogenous and heterogeneous aggregate demand
Heterogeneous treatment effects: instrumental variables without monotonicity?
Heterogeneous treatment effects: instrumental variables without monotonicity?
Heterogeneous treatment effects: instrumental variables without monotonicity?
Heterogeneous treatment effects: instrumental variables without monotonicity?
Nonparametric identification of random coefficients in endogenous and heterogeneous aggregated demand models
Chapter VI. Linear Equations with Variable Coefficients.
Heterogeneous treatment effects with mismeasured endogenous treatment
Multi-scale model for transport coefficients in heterogeneous fractured media
Quasi maximum likelihood estimation of spatial models with heterogeneous coefficients
Heterogeneous coefficients, control variables, and identification of multiple treatment effects
Heterogenous coefficients, discrete instruments, and identification of treatment effects
Nonparametric identification of random coefficients in endogenous and heterogeneous aggregate demand
Heterogeneous treatment effects: instrumental variables without monotonicity?
Heterogeneous treatment effects: instrumental variables without monotonicity?
Heterogeneous treatment effects: instrumental variables without monotonicity?
Heterogeneous treatment effects: instrumental variables without monotonicity?
Nonparametric identification of random coefficients in endogenous and heterogeneous aggregated demand models
Chapter VI. Linear Equations with Variable Coefficients.
Heterogeneous treatment effects with mismeasured endogenous treatment
Multi-scale model for transport coefficients in heterogeneous fractured media