Late again, whithout Monotonicity

Clément de Chaisemartin

No 2012-12, Working Papers from Center for Research in Economics and Statistics

Abstract: Monotonicity is not necessary for the Wald ratio to identify a Local Average Treatment Effect. Under random assignment and exclusion restriction, if for every value of potential outcomes there are more compliers than defiers, the Wald ratio identifies the average treatment effect within a subpopulation of compliers. I use a simple Roy selection model to show that this "less defiers than compliers" condition is substantially weaker than monotonicity. It has two implications which are testable from the data, and it is closely related to those testable implications. Similarly, the local monotonicity condition in Huber & Mellace (2012) is not necessary for their identification results to hold and can also be replaced by a substantially weaker condition

Keywords: local average treatment effect; instrumental variable; monotonicity; local monotonicity; defiers (search for similar items in EconPapers)
JEL-codes: C21 C26 (search for similar items in EconPapers)
Pages: 19
Date: 2012-06
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (1)

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Related works:
Journal Article: Tolerating defiance? Local average treatment effects without monotonicity (2017)
Working Paper: Defying the LATE? Identication of local treatment eects when the instrument violates monotonicity (2013)
Working Paper: Defying the LATE? Identification of local treatment effects when the instrument violates monotonicity (2013)
Working Paper: Late Again with Defiers (2012)
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