GPT-4 Explains Econometrics (a new series): Estimating Demand with BLP
by Cunningham (r) and GPT-4 (r), prompted by Cunningham
This is a new series I decided to start called “GPT-4 Explains Econometrics”. The idea is simple: I am going to try and prompt GPT-4 to explain econometric methods that are outside my wheelhouse. The main substack will continue to be my own writings, unassisted by artificial intelligence, as that’s my passion. Which means the main substack will really just be more of the Rubin causal model treatment effects work and its adjacent material. The stuff here — that’ll just be me digging deep into the underbelly of things I have always wanted to learn but just don’t have the time. Like structural material in empirical IO. So, each week, probably Fridays, I’ll post in a new section called “GPT-4 Explains econometrics”.
You should be cautious about taking any of it seriously because I can’t confirm its accuracy. Rather, I am just like you — I’m listening to GPT-4 tell me stories about econometrics. But hey — nothing wrong with listening to a teacher who maybe isn’t always hitting the…