Annual Review of Economics

Journal of Economic Literature

Wolak and Reiss's chapter in the Handbook of Econometrics on Structural Modelling

Kevin Sheppard's Financial Econometrics Notes

NBER conference livestreams

Personnel Economics

Mixtape-Sessions

Causal Inference for The Brave and True

The Effect (and videos)

Online Causal Inference Seminar

Stanford Causal Inference Workshop 

Brady Neal Causal Inference videos

Kyle Butts' resources on Diff-in-diff statistical packages

Causal Inference: A Statistical Learning Approach by Stefan Wager

Pedro Sant'Anna DiD resources (Lectures notes and packages)

Jonathan Roth DiD resources (Lecture notes and packages)

CEPR Virtual IO Seminar

Mannheim Center for Competition and Innovation

Digital Economic Seminar Series (and their Twitter page)

Antitrust R package

pyBLP (Best practices for demand estimation with pyBLP)

pyRVtest

Notes to different materials

• Structural Econometrics (IO and Labor) by Robert Miller

Deep Learning for Economists by Melissa Dell (accompanying article)

Generative AI for Economic Research by Anton Korinek (bi-montly updated accompanying article)

Machine learning for economics research: when, what and how (Bank of Canada staff note)

NotebookLM (AI research assistant)

XGBoosting (intro to XGBoosting)

Machine Learning Mastery 

EconML (ALICE)

Automate the Boring Stuff with Python (General Intro)

Introduction to Econometrics by Kevin Sheppard

Lectures on Quantitative Economics (by Thomas J. Sargent and John Stachurski)

Econometrics with R

Data is beautiful sub-reddit

Economist's Graphic Detail

Priceonomics

Data is plural