A0685
Title: Measurement errors in the instrumental variable model with binary variables
Authors: Zhichao Jiang - Harvard University (United States) [presenting]
Abstract: Instrumental variable methods can identify causal effects even when the treatment and outcome are confounded. We consider scenarios with imperfect measurements of the binary instrumental variable, treatment or outcome. For non-differentially measurement errors, we show that the measurement error of the instrumental variable does not bias the estimate, the measurement error of the treatment biases the estimate away from zero, and the measurement error of the outcome biases the estimate toward zero. Moreover, we derive sharp bounds on the causal effects without additional assumptions. These bounds are informative because they exclude zero. We also consider differential measurement errors, and focus on sensitivity analyses in those settings.
