u/Raz4r

Hello everyone,

I recently started working on a project where most people come from an economics/econometrics background, while mine is mostly in computer science.

I'm running into some friction when discussing modeling approaches with my colleagues. I learned causal inference mainly from the potential outcomes perspective, and I've been surprised to face some resistance when using terminology like ATT, ATE, LATE, or discussing unconfoundedness.

From what I gather, most of my colleagues learned from books like Wooldridge, which frames causal inference largely in terms of structural equations (please correct me if I'm wrong).

Can anyone recommend authors, books, or papers that bridge these two frameworks?