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2 useful papers today on how you can get basically any answer you want from regressions using arcsinh(y) or log(y+1) I made these graphs to show the problem: The mean of the transformed var (black lines) varies like crazy by what units you choose for y 🧵 on my own take-aways

Esteban J. Quiñones, Ph.D. For any power analysis beyond basic RCT setups, simulation is almost always the answer! I walk through an interaction term power calculation by simulation in my book theeffectbook.net/ch-Simulation.…

If one more article is written talking about all the data on student outcomes and doesn't mention PSEO, my head is going to explode. On a related noted, new data coming on Thursday... lehd.ces.census.gov/data/pseo_expe…

Over 7 years as (Managing) Editor of the Review of Finance, I had to reject 1,000 papers given our increase in standards. "Lessons From 1,000 Rejections" aims to use them constructively by distilling common reasons for rejection to guide future research. papers.ssrn.com/sol3/papers.cf…

ChatGPT is everywhere and everyone is using it. But most academics don't know how to use it *smartly.* Here's how to use ChatGPT intelligently (and ethically) for academic purposes:

Synthetic difference-in-differences, in Stata! Check out our article describing the package. Makes nice graphs illustrating time trends and unit weights. Comments welcome! arxiv.org/pdf/2301.11859…

The new version of #sdid is out! Now featuring event study graphs. Great stuff! Daniel Pailañir I wrote about sdid here: asjadnaqvi.github.io/DiD/docs/code/… Will be updating this page and other packages soon!

"Who Benefits From Attending Effective High Schools?" now available ahead of print at the Journal of Labor Economics journals.uchicago.edu/doi/10.1086/72…

My student is teaching Public Econ at grad level (expenditures not tax). He is looking for slides to use as a model. If anyone has some publicly available, please reply and he will be immensely grateful or DM me!! I haven't taught public at grad level so couldn't share mine.

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!

Constructing schools in #Senegal 🇸🇳 reduces fertility before age 25 by 39% --> mechanisms are delays in [early] marriage & increases in infant health by Hamidou Diallo [World Bank ] & Delaunay [IRD.fr] #EconTwitter custom.cvent.com/4E741122FD8B4A…

Hi #EconTwitter! Looking for a nice course on 𝐂𝐚𝐮𝐬𝐚𝐥 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 at the master/PhD level? 📚🔬 Check out this insightful one by @MC_Knaus (Universität Tübingen) where the focus is on program evaluation. R code/notebooks included! Don't miss out! 👀

Hi #EconTwitter! Looking for a long list of “public goods”, with zillions of useful 𝐫𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 𝐟𝐨𝐫 #Economists? Don’t miss Christine Cai²’s amazing list - with everything, from applied #econometrics to #python coding, latex, job market, etc. Bookmark it now👇

A new randomized controlled trial comparing breastmilk to formula among extremely preterm infants was published just yesterday. Short🧵 They found no effect whatsoever on neurodevelopmental outcomes at 22-26 months of age.

Colin Cameron, econometrician and author with Trivedi of a fantastic econometrics textbook, has a deck of slides on causal inference for those interested. cameron.econ.ucdavis.edu/causal/

Folks seemed to like these before, so I'm posting the full set of slides from my advanced undergrad 'metrics course at Brown University (drawn from an earlier class developed at The University of Chicago, with parts co-developed by Jonathan Roth) sites.google.com/site/aboutpete… x.com/instrumenthull…

Elizabeth Setren Tufts University NBER MIT Blueprint Labs Next, in 5th place, was Jeonghyeok Kim's "The Long Shadow of School Closures: Impacts on Students’ Educational and Labor Market Outcomes" edworkingpapers.com/sites/default/… UH Economics Annenberg Institute at Brown

This is a really good set of notes, by Leonard Goff leonardgoff.com/teaching/Causa…

Wrapped up Stanford CS336 (Language Models from Scratch), taught with an amazing team Tatsunori Hashimoto Marcel Rød Neil Band Rohith Kuditipudi. Researchers are becoming detached from the technical details of how LMs work. In CS336, we try to fix that by having students build everything:

I have a report out today via The Brookings Institution that analyzes new (Oct 2017) data from US Dept of Ed on student loan repayment. Ten-tweet summary in this thread. [START]