# Examplary applications of Pearl's theory of causality

Causal theories described in Pearl (2009) seemingly find more and more attention in methodological papers (Elwert and Winship, 2014; Pearl, Glymour and Jewell, 2016; Lewbel, 2019; Imbens, 2019).

But are there any good, practical applications of Pearl's causal theories in empirical research? Have you encountered such papers?

Elwert, Felix, and Christopher Winship. "Endogenous selection bias: The problem of conditioning on a collider variable." Annual review of sociology 40 (2014): 31-53.

Imbens, Guido. Potential outcome and directed acyclic graph approaches to causality: Relevance for empirical practice in economics. No. w26104. National Bureau of Economic Research, 2019.

Lewbel, Arthur. "The identification zoo: Meanings of identification in econometrics." Journal of Economic Literature 57, no. 4 (2019): 835-903.

Pearl, Judea. Causality. Cambridge university press, 2009.

Pearl, Judea, Madelyn Glymour, and Nicholas P. Jewell. Causal inference in statistics: A primer. John Wiley & Sons, 2016.

• canr.msu.edu/afre/events/Bellemare%20and%20Bloem%20(2020).pdf Dec 6 '20 at 1:38
• +1 this relates to my comments to this question Dec 6 '20 at 10:48
• @DimitriyV.Masterov One odd thing about that paper is that they choose to use the notation $E[Y|X]$ to define the causal parameter of interest and then later they start introducing the $P(Y|do(X))$ notation reminding the reader $P(Y|X)$ needn't be causal Dec 6 '20 at 11:02