Daniel Millimet

Measurement Error Can Be a Serious Problem for Causal Inference

Measurement error is an important and often overlooked problem in (causal) data science. In this post, Daniel Millimet, from Southern Methodist University, explains what you have to watch out for if your analysis is based on mismeasured data.

Posted May 21, 2021 by Daniel Millimet ‐ 9 min read