# Improving Inference from Simple Instruments through Compliance Estimation

@inproceedings{Coussens2021ImprovingIF, title={Improving Inference from Simple Instruments through Compliance Estimation}, author={Stephen Coussens and Jann Spiess}, year={2021} }

Instrumental variables (IV) regression is widely used to estimate causal treatment effects in settings where receipt of treatment is not fully random, but there exists an instrument that generates exogenous variation in treatment exposure. While IV can recover consistent treatment effect estimates, they are often noisy. Building upon earlier work in biostatistics (Joffe and Brensinger, 2003) and relating to an evolving literature in econometrics (including Abadie et al., 2019; Huntington-Klein…

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