Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/195543 
Year of Publication: 
2017
Citation: 
[Journal:] Quantitative Economics [ISSN:] 1759-7331 [Volume:] 8 [Issue:] 2 [Publisher:] The Econometric Society [Place:] New Haven, CT [Year:] 2017 [Pages:] 367-396
Publisher: 
The Econometric Society, New Haven, CT
Abstract: 
Instrumental variables (IVs) are commonly used to estimate the effects of some treatments. A valid IV should be as good as randomly assigned, it should not have a direct effect on the outcome, and it should not induce any unit to forgo treatment. This last condition, the so-called monotonicity condition, is often implausible. This paper starts by showing that actually, IVs are still valid under a weaker condition than monotonicity. It then derives conditions that are sufficient for this weaker condition to hold and whose plausibility can easily be assessed in applications. It finally reviews several applications where this weaker condition is applicable while monotonicity is not. Overall, this paper extends the applicability of the IV estimation method.
Subjects: 
Monotonicity
defiers
instrumental variable
average treatment effect
partial identification
JEL: 
C21
C26
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc Logo
Document Type: 
Article

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