Sensitivity of Policy‐Relevant Treatment Parameters to Violations of Monotonicity

ABSTRACT This paper proposes a method to bound policy‐relevant treatment parameters (PRTPs) when the monotonicity assumption that the IV affects individuals' treatment response in the same direction is weakened. The bounding framework uses the proportion of defiers relative to compliers as a sensitivity parameter and yields an identified set that is an interval. The method is illustrated in an empirical application where the same‐sex instrument was used to calculate the effect of having a third child on labor force participation. I find that bounds are informative only for small violations in monotonicity.

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Publication Details

Journal
Journal of Applied Econometrics
Published
2025-05-15
DOI
https://doi.org/10.1002/jae.3132
Primary Topic
Advanced Causal Inference Techniques
Type
article
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article

Sensitivity of Policy‐Relevant Treatment Parameters to Violations of Monotonicity

Luther Yap
Journal of Applied Econometrics
Advanced Causal Inference Techniques
article

Sensitivity of Policy‐Relevant Treatment Parameters to Violations of Monotonicity

Luther Yap
article en

Abstract

ABSTRACT This paper proposes a method to bound policy‐relevant treatment parameters (PRTPs) when the monotonicity assumption that the IV affects individuals' treatment response in the same direction is weakened. The bounding framework uses the proportion of defiers relative to compliers as a sensitivity parameter and yields an identified set that is an interval. The method is illustrated in an empirical application where the same‐sex instrument was used to calculate the effect of having a third child on labor force participation. I find that bounds are informative only for small violations in monotonicity.

Journal of Applied EconometricsVol. 40(6)
Princeton University (US)
Openalex Percentile: Top 89%
Advanced Causal Inference Techniques
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