Martin Huber
@CausalHuber
Professor of Applied Econometrics and Policy Evaluation at @ses_unifr @unifr - causal analysis, statistics, econometrics, machine learning...and telemarking
Delighted that our working paper “Catching Bid-rigging Cartels with Graph Attention Neural Networks”, joint work with D. Imhof and E. Viklund, is out! We propose a novel #DeepLearning algorithm based on GATs to detect collusive behavior in markets/tenders: arxiv.org/abs/2507.12369
And here it is! Just received my author copies of my book Impact Evaluation in Firms and Organizations, out with @mitpress on Aug 5. It offers a compact overview of methods for evaluating interventions, like marketing campaigns, with R and Python examples: mitpress.mit.edu/9780262552929/…

Delighted to attend the second edition of the Causal Machine Learning Workshop in the UK, this time hosted at Queen Mary University of London. Many thanks to my co-author Michel Haddad and the co-organizers for putting together such a fantastic event! #MachineLearning


Visiting the @ZEW (Leibniz Centre for European Economic Research) in #Mannheim this week and delighted to teach a PhD course on machine learning methods as part of their summer school! #DataScience #MachineLearning


Attending the International Association for Applied Econometrics (IAAE) conference this week in beautiful Torino. Excited to present joint work with N. Apfel, J. Hatamyar, and Jannis Kueck on testing identifying assumptions in causal inference: arxiv.org/abs/2407.04448


Just 1.5 months to go until my book Impact Evaluation in Firms and Organizations is out with @mitpress! An accessible introduction to impact evaluation & causal machine learning, with examples in #R & #Python: mitpress.mit.edu/9780262552929/… Examples (for free): dataverse.harvard.edu/dataset.xhtml?…


Great to be visiting the Chair for Entrepreneurship at @UZH_ch for a seminar on data analytics and machine learning. Many thanks to Prof. Ulrich Kaiser and his team for the warm welcome and generous hospitality! #DataScience

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!


🚀 Less than 3 months to go! My book "Impact Evaluation in Firms and Organizations" (@mitpress) 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:

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…
🧵New survey paper: "Inference with Few Treated Units" Alvarez (@lafalvarez), 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!
🔥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…
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

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

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

🌟 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/…

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…