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
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Englisch
- Bibliographic citation
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Series: cemmap working paper ; No. CWP72/15
- Classification
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Wirtschaft
- Event
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Geistige Schöpfung
- (who)
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Lee, Sokbae
Salanie, Bernard
- Event
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Veröffentlichung
- (who)
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Centre for Microdata Methods and Practice (cemmap)
- (where)
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London
- (when)
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2015
- DOI
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doi:10.1920/wp.cem.2015.7215
- Handle
- Last update
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10.03.2025, 11:45 AM CET
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