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

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Object type

  • Arbeitspapier

Associated

  • Lee, Sokbae
  • Salanie, Bernard
  • Centre for Microdata Methods and Practice (cemmap)

Time of origin

  • 2015

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