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The Fribourg Winter School in #DataAnalytics and #MachineLearning wrapped up its block on the stats software #R with an introduction to causal #MachineLearning. Many thanks to all participants for the great interactions-enjoy the remaining courses on #Julia and #Python!

📣 We are pleased to invite you to our upcoming seminar with Martin Huber , Professor of Applied Econometrics at Uni Fribourg Further details & instructions to register ⬇️ irvapp.fbk.eu/events/detail/… Fondazione Bruno Kessler - FBK

Just submitted the final proofs of my new book, Impact Evaluation in Firms and Organizations, set to be published by The MIT Press @mitpress.bsky.social this summer! Compared to my first book, #CausalAnalysis, it’s shorter, less technical, and focused on business applications. Here’s the table of contents

Our paper, Interacting Treatments With Endogenous Takeup (joint with M Kormos and R Lieli), has been published in JAE. It examines IV-based effect estimation for 2 treatments under spillover effects of treatments (on outcomes) & instruments (on treatments) onlinelibrary.wiley.com/doi/10.1002/ja…

Congratulations to my coauthor Eva-Maria Oeß for winning the Best Paper Award for our joint paper arxiv.org/abs/2404.16961 at the Doctoral Conference of the Ruhr Graduate School of Economics: rgs-econ.org/research/rgs-d…

🌟 Thrilled to present our joint research on #CausalAnalysis with N. Apfel, J. Hatamyar, and J. Kueck at the Fondazione Bruno Kessler in the stunning city of Trento today! 🌄 Check out the event details here: irvapp.fbk.eu/events/detail/…

Excited to reveal the cover of my new book, Impact Evaluation in Firms and Organizations, coming this summer from The MIT Press @mitpress.bsky.social! 📖✨ Empirical examples in R and Python are already available here: dataverse.harvard.edu/dataset.xhtml?… #EconTwitter

Attending the Causal Inference in the Health Sciences Symposium in Zürich today, where Andreas Stoller presented joint research on the causal effects of cigarette prices/taxes on smoking. Huge thanks to the organizers, M Serra-Burriel and N Ortega, for putting together this event

🚀A new version of the causalweight package for #RStats is available! It includes double machine learning estimators for #DifferenceInDifferences designs, supporting both discrete & continuous treatments. We’ve also added several datasets. Check it out: cran.r-project.org/web/packages/c…

📖🎉My new book, Impact Evaluation in Firms and Organizations With Applications in R and Python, will be published on August 5th by The MIT Press @mitpress.bsky.social and is now available for pre-order: mitpress.mit.edu/9780262552929/… #econtwitter #statstwitter

Delighted to attend the Workshop on Empirical Microeconomics in Halle, with a focus on advances in causal inference methods. Many thanks to the organizers for putting together such an excellent event! wem-halle.github.io

🔥Our paper "From homemakers to breadwinners?", with Selina Gangl, is out in the Journal of Population Economics! Our RDD suggests mandatory kindergarten increases employment among previously non-employed mothers in Switzerland, but not for other groups: link.springer.com/article/10.100…

Happy Easter break from the Alps! 🐣🏔️ #Kaunertal

🧵New survey paper: "Inference with Few Treated Units" Alvarez (Luís A. F. Alvarez), Ferman (Bruno Ferman) and Wüthrich Tired of referees saying your standard errors are wrong? This survey will help you understand if you really have a problem — and, if so, how to fix it!

Very happy to see our article "How causal AI can improve your decision making" - with Quentin Gallea & Konstantinos Apostolatos - published in I by IMD, discussing how companies can use causal AI to make smarter, evidence-based decisions: imd.org/ibyimd/artific…

🚀 Less than 3 months to go! My book "Impact Evaluation in Firms and Organizations" (The MIT Press @mitpress.bsky.social) is now available for pre-order: mitpress.mit.edu/9780262552929/… It features intuitive graphs to explain key concepts and common challenges in evaluating interventions like marketing campaigns:

Visiting the Centre d'études et de recherches sur le développement international (cerdi) in Clermont-Ferrand this week, a leading center for development economics. Many thanks for the warm welcome and the stimulating discussions on impact evaluation and causal machine learning!