🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

If you ✅ work on gender inequality in the labor market ✅ want to finally understand what this never-ending DiD literature is talking about ✅ teach recent advances in DiD then take a look at our WP with Lukas Riedel! 🔗rfberlin.com/research/child… ROCKWOOL Foundation Berlin

Les Français payent-ils vraiment 50 % de leurs revenus en impôt en moyenne ? Les milliardaires deux fois moins que cela ? Retour sur les données existantes — et l’échec dramatique du système fiscal français à assurer l’égalité devant les charges communes 🧵

On June 19th, PISM (the center I direct at Penn Economics) launches our annual summer open online course. This year’s theme: Foundational Thinkers in Economics. 🧠 econthought.org Over 11 sessions (Tues & Thurs, 11:30am EST), we’ll cover: Xenophon, Aristotle, Aquinas,

This new working paper argues that female economics PhD students benefit tremendously from having female economics faculty around. How do they back up this claim? They look at the timing of sabbatical leaves. When female professors go on leave, it decreases third-year female

We have a new post, and as the title says, it's all about heterogeneous treatment effects :) Because not everyone responds to treatment the same way, and our methods should reflect that substacktools.com/sharex/O2tQdSh9

Just tried out the {acquaint} #rstats package for the first time, a tool that connects your R sessions to Claude via MCP. After setting up my config and running acquaint::mcp_session(), Claude took a look at my data, and started giving me analysis suggestions. Awesome!

Forthcoming in AEJ: Applied:

Thanks to Rivka Lipkovitz, a new version of *fect* is on GitHub. It has more visual options, including - improved gap plots - counterfactual plots - cumulative effects - heterogeneous effects (by time) & more yiqingxu.org/packages/fect/

Self-graded R and stats exercises for beginners! Test your understanding of the material in our textbook (bit.ly/dss_textbook): - Intro to R: bit.ly/dss_ex_ch1 - Intro to causal inference: bit.ly/dss_ex_ch2

If you've been wondering how to explore the informational content of your Parallel Trends assumptions to get the most precise DiD and ES estimator possible, we have some good news for you!! Our new DiD paper is out: arxiv.org/abs/2506.17729 😎Get along for a brief overview😎 1/

Want to easily scrape data from news media sites? There's an R package for that! paperboy "paperboy offers writers of web scraping scripts a clear path to publish their code and earn co-authorship on the package, while promising users to deliver news media data from many

We have a new post 🙃 Three recent DiD papers, one shared goal: better estimates in messy settings ☑️DiD that hits efficiency bounds ☑️Synthetic DiD that mimics an oracle ☑️TWFE vs. the new wave 👉substacktools.com/sharex/l34vE6Hs

The ggblanket package is an extension for ggplot2 that simplifies the process of creating clean and consistent plots in R. It offers user-friendly functions that reduce the amount of code needed, making it easier to produce high-quality visualizations quickly. ✔️ Streamlines

The stargazer package in R makes it simple to create well-formatted summary tables and regression outputs in LaTeX, HTML, or plain text. With just a few lines of code, you can transform your statistical results into clean, publication-ready tables—ideal for reports, papers, and

🚨 New paper alert: Economists in 🇫🇷 France, 🇨🇦Canada, and 🇬🇧the U.K. just released what looks like a tour-de-force on the economics of artwork. It's big. 🎨📉📈 Here’s what they did. First, they collected and digitized 630,000 paintings dating from the year 1400 to the

Announcing the #ASSA2026 Distinguished Lecturer, Leah Boustan of Yale University. She will be speaking on her work related to migration, assimilation, and economic opportunity.

This looks a must read for those interested in triple differences (DDD) designs. It shows that the standard way many estimate DDD is wrong. It shows why and gives you tools that work with covariates and staggered adoption. Bonus: free R package.

Transforming raw regression results into polished, publication-ready tables is effortless with the gtsummary package in R. The tbl_regression() function converts regression model outputs into clean, well-organized tables that showcase key statistics like estimates, confidence

We have some updates on our DDD paper. In our latest version, we have introduced three new applications and an open-source R package to facilitate the usage of all our DDD tools! 🚀R package: marcelortiz.com/triplediff/ 🔎Updated paper: arxiv.org/abs/2505.09942

#RDDers: check it out. Difference-in-Discontinuities: Estimation, Inference, and Validity Tests.