📦 Very happy to announce a new release of our causalweight R package for causal inference combined with machine learning! New: continuous treatments, mediation with DiD, direct/indirect quantile effects, learning instruments & controls, effect homogeneity tests.
cran.r-project.org/package=caus...
📢 Registration is open for the Fribourg Winter School in Data Analytics & Machine Learning (1-12 Feb 2027). Learn predictive & causal analytics with Python, R & KNIME. New this year: a course on #AgenticAI. Hybrid format: join either on campus in Fribourg or online!
www.unifr.ch/appecon/en/w...
📚 Finally, the lecture slides for my book Impact Evaluation in Firms and Organizations, published by The MIT Press, are here! They can be downloaded from
www.unifr.ch/appecon/en/r...
Many thanks to Karin Lötscher, Sarina Oberhänsli, and Andreas Stoller for their great work in preparing the slides!
📣 New month, new chances!
Discover our latest #GESISworkshops:
📊Causal Inference with Instrumental Variables and Regression Discontinuity Designs
📝 Grounded-Theory-Methodologie (in German)
#causalinference #regression #GTM
@gesis.org
Find yours ➡️ gesis.org/workshops 🧵👇
