The BEST comes last ♥♥" / but the last sometime never come

Econ tweeps-- give me your favorite applied micro papers that use machine learning!

Session 5 Outlines new approaches from ML to AI for a different look at the data Must watch Susan Athey's video of how to think about AI as an economist 7/n youtube.com/watch?v=7bF13P…

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Hi #EconTwitter, can you share your favourtie Behavioral paper that use Machine learning (or deep learning)?

Day of the week effect in paper submission/acceptance/rejection to/in/... sciencedirect.com/science/articl…

Here are the full materials for my data-science-in-economics course, for anyone who might benefit The idea is to explicitly teach skills/tools that otherwise are only gained through RA experiences. Help level the playing field for research/PhDs/predocs github.com/msu-econ-data-…

Hi #EconTwitter! Looking for graduate #Econometrics lecture notes, covering a lot - GMM, bootstrap, program evaluation, treatment effects and much more? Check out these MIT OpenCourseWare notes by Victor Chernozhukov Victor Chernozhukov #peace 🇺🇦 (Massachusetts Institute of Technology (MIT)) & Ivan Fernandez-Val (Boston University)! Very useful stuff!

Applied Machine Learning (Cornell CS5785) "Starting from the very basics, covering all of the most important ML algorithms and how to apply them in practice. Executable Jupyter notebooks (and as slides)". Lectures: youtube.com/playlist?list=… Notebooks: github.com/kuleshov/corne…

I'm teaching a new grad applied metrics course this spring; inspired by paulgp, I've decided to post slides here First, Ch. 1-3: a review of regression basics and discussions of design- & model-based ID dropbox.com/s/8gx1oj69vz9n… dropbox.com/s/z55anktz4anh… dropbox.com/s/8jnlcjshek8v…

Hi #EconTwitter! Willing to dive deep into 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 and computer science for #economics? Check out this master level course by Grant McDermott https://bsky.app/profile/gmcd.bsy (University of Oregon) to learn how to deal with empirical problems involving large dimensional data using 𝐑. Highly recommended!

Another paper of mine is out on the website. It's a work in progress so kindly circulate this and please share your thoughts on this so I can improve it :)

Hi #EconTwitter! New to #MachineLearning? Here's a classic intro for economists and econometricians!💼 Read this engaging review article to learn about Susan Athey and guido imbens's (Stanford University) take on ML. Literature moves fast, but this is still a must-read!📚

Hi #EconTwitter! For economists and econometricians getting into #machinelearning, don't forget this 100 pp. intro to the field by Joseph Makin (Purdue University). A very nice attempt to build up a stand-alone treatment of 𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴. Recommended!

Hi #EconTwitter! 📈 For the applied economists who missed these great surveys: 📚 Check out👇 the Journal of Econometrics's "𝐡𝐨𝐰 𝐭𝐨" papers - Cluster robust inference (James MacKinnon, @MortenEcon, Matt Webb); - instrument strength in IV (Keane & Neal); - Diff-in-diff #Econometrics

Curious about what's next in Economics, Machine Learning (ML), Artificial Intelligence (AI) and Complex Information? Read what a group of econometricians assembled this year at Indiana University in honor of Professor Joon Park said. (Recommended reading list at the end).

Hi #EconTwitter! 📈 Interested in applications of #DataScience, #MachineLearning, #BigData analytics (and more) to #Economics and #Finance? 📚 If you haven't downloaded it yet, get this free book, full of accessible and inspiring contributions to this field! Link:

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