Identifying Effects of Multivalued Treatments
Sokbae (Simon) Lee () and
Bernard Salanié ()
Econometrica, 2018, vol. 86, issue 6, 1939-1963
Multivalued treatment models have typically been studied under restrictive assumptions: ordered choice, and more recently, unordered monotonicity. We show how treatment effects can be identified in a more general class of models that allows for multidimensional unobserved heterogeneity. 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. We illustrate our approach for several classes of models.
References: Add references at CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
Working Paper: Identifying Effects of Multivalued Treatments (2018)
Working Paper: Identifying effects of multivalued treatments (2018)
Working Paper: Identifying Effects of Multivalued Treatments (2015)
Working Paper: Identifying effects of multivalued treatments (2015)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:wly:emetrp:v:86:y:2018:i:6:p:1939-1963
Ordering information: This journal article can be ordered from
https://www.economet ... ordering-back-issues
Access Statistics for this article
Econometrica is currently edited by Daron Acemoglu
More articles in Econometrica from Econometric Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().