Limited Monotonicity and the Combined Compliers LATE

Abstract We consider endogenous binary treatment with multiple binary instruments. We propose a novel limited monotonicity (LiM) assumption that is generally weaker than alternative monotonicity assumptions in the literature. We define and identify (under LiM) the combined compliers local average treatment effect (CC-LATE), which is arguably a more policy-relevant parameter than the weighted average of LATEs identified by two-stage least squares (TSLS), and is identified under more general conditions. Estimating the CC-LATE is trivial, equivalent to running TSLS with one constructed instrument on a subsample. We use our CC-LATE to empirically assess how knowledge of HIV status influences protective behaviors.

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Publication Details

Journal
The Review of Economics and Statistics
Published
2025-10-27
DOI
https://doi.org/10.1162/rest.a.1634
Primary Topic
Mathematical Inequalities and Applications
Type
article
Field-Weighted Citation Impact
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article

Limited Monotonicity and the Combined Compliers LATE

Arthur Lewbel, Giovanni Mellace, Nadja van’t Hoff
The Review of Economics and Statistics
Mathematical Inequalities and Applications
article

Limited Monotonicity and the Combined Compliers LATE

Arthur Lewbel, Giovanni Mellace, Nadja van’t Hoff
article en

Abstract

Abstract We consider endogenous binary treatment with multiple binary instruments. We propose a novel limited monotonicity (LiM) assumption that is generally weaker than alternative monotonicity assumptions in the literature. We define and identify (under LiM) the combined compliers local average treatment effect (CC-LATE), which is arguably a more policy-relevant parameter than the weighted average of LATEs identified by two-stage least squares (TSLS), and is identified under more general conditions. Estimating the CC-LATE is trivial, equivalent to running TSLS with one constructed instrument on a subsample. We use our CC-LATE to empirically assess how knowledge of HIV status influences protective behaviors.

The Review of Economics and Statistics
Boston College (US), University of Southern Denmark (DK)
Openalex Percentile: Top 57%
Mathematical Inequalities and Applications
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