Arbeitspapier
The quantile identifying effects of multivalued treatments
Multivalued treatment models have only been studied so far under restrictive assumptions: ordered choice, or more recently unordered monotonicity. We show how marginal treatment effects can be identified in a more general class of models. Our results rely on two main assumptions: treatment assignment must be a measurable function of threshold-crossing rules; and enough continuous instruments must be available. On the other hand, we do not require any kind of monotonicity condition. We illustrate our approach on several commonly used models; and we also discuss the identification power of discrete instruments.
- Language
-
Englisch
- Bibliographic citation
-
Series: cemmap working paper ; No. CWP72/15
- Classification
-
Wirtschaft
- Event
-
Geistige Schöpfung
- (who)
-
Lee, Sokbae
Salanie, Bernard
- Event
-
Veröffentlichung
- (who)
-
Centre for Microdata Methods and Practice (cemmap)
- (where)
-
London
- (when)
-
2015
- DOI
-
doi:10.1920/wp.cem.2015.7215
- Handle
- Last update
-
10.03.2025, 11:45 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
- Lee, Sokbae
- Salanie, Bernard
- Centre for Microdata Methods and Practice (cemmap)
Time of origin
- 2015
Other Objects (12)
Identifying effects of multivalued treatments
Doubly robust estimation of causal effects with multivalued treatments
Local quantile treatment effects
Multivalued differential equations
Identifying hypermethylated CpG islands using a quantile regression model
Unconditional quantile treatment effects under endogeneity
Unconditional quantile treatment effects under endogeneity
Quantile credibility models with common effects
Unconditional quantile treatment effects under endogeneity
ON THE OPENNESS OF A MULTIVALUED FUNCTION. OPEN DISCRETE MULTIVALUED FUNCTIONS
ON PREIRRESOLUTE MULTIVALUED FUNCTIONS
Nonlinear Multivalued Periodic Systems
Identifying effects of multivalued treatments
Doubly robust estimation of causal effects with multivalued treatments
Local quantile treatment effects
Multivalued differential equations
Identifying hypermethylated CpG islands using a quantile regression model
Unconditional quantile treatment effects under endogeneity
Unconditional quantile treatment effects under endogeneity
Quantile credibility models with common effects
Unconditional quantile treatment effects under endogeneity
ON THE OPENNESS OF A MULTIVALUED FUNCTION. OPEN DISCRETE MULTIVALUED FUNCTIONS
ON PREIRRESOLUTE MULTIVALUED FUNCTIONS
Nonlinear Multivalued Periodic Systems
Identifying effects of multivalued treatments
Doubly robust estimation of causal effects with multivalued treatments
Local quantile treatment effects
Multivalued differential equations
Identifying hypermethylated CpG islands using a quantile regression model
Unconditional quantile treatment effects under endogeneity
Unconditional quantile treatment effects under endogeneity
Quantile credibility models with common effects
Unconditional quantile treatment effects under endogeneity
ON THE OPENNESS OF A MULTIVALUED FUNCTION. OPEN DISCRETE MULTIVALUED FUNCTIONS
ON PREIRRESOLUTE MULTIVALUED FUNCTIONS