@mcknaus
Assistant Professor of "Data Science in Economics" at Uni Tübingen. Interested in the intersection of causal inference and so-called machine learning. Teaching material: https://github.com/MCKnaus/causalML-teaching Homepage: mcknaus.github.io
I am hiring PhD students and/or Postdocs, to work on the theory of explainable machine learning. Please apply through Ellis or IMPRS, deadlines end october/mid november. In particular: Women, where are you? Our community needs you!!!
imprs.is.mpg.de/application
ellis.eu/news/ellis-p...
🚨Job alert🚨
Premium tenure-track (ass to full prof) in "𝐌𝐋 𝐌𝐞𝐭𝐡𝐨𝐝𝐬 𝐢𝐧 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐚𝐧𝐝 𝐄𝐜𝐨𝐧𝐨𝐦𝐢𝐜𝐬" @unituebingen.bsky.social made possible by @ml4science.bsky.social
Spread the word and feel free to reach out if you have any questions about the position or the environment.
Link: shorturl.at/QHZ5G
Me too 😄 I just pitched a vague idea to my research/art assistant and he came back with this.
The OutcomeWeights #RStats package now has a logo and a new vignette illustrating how Double ML improves covariate balance over "Single ML" RA or IPW.
Check it out:
mcknaus.github.io/OutcomeWeigh...
#causalSky #causalML
Wir suchen jemanden, der im WS 25/26 unseren vakanten Lehrstuhl für Statistik und Quantitative Methoden in den Wirtschaftswissenschaften vertritt. Auch die Dauerstelle wird bald ausgeschrieben. Wir freuen uns über nette, engagierte Kollegen! Gerne teilen... Link im nächsten Post.
Our cluster Machine Learning for Science is up for 7 years more funding!
Excellent news! The "Machine Learning for Science" cluster is an incredible public good for researchers @unituebingen.bsky.social interested in ML in all its facets.
Great job by @philipp.hertie.ai, @ulrikeluxburg.bsky.social and the cluster team.
The members of the Cluster of Excellence "Machine Learning: New Perspectives for Science" raise their glasses and celebrate securing another funding period.
We're super happy: Our Cluster of Excellence will continue to receive funding from the German Research Foundation @dfg.de ! Here’s to 7 more years of exciting research at the intersection of #machinelearning and science! Find out more: uni-tuebingen.de/en/research/... #ExcellenceStrategy
Junior Professorship (W1) with tenure track (W3) in Statistics and Empirical Economics #Econsky
🧵New survey paper: "Inference with Few Treated Units"
Luis Alvarez, Bruno Ferman and Kaspar 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!
One of my favorite parts is running OLS within the DoubleML package of @philippbach.bsky.social and colleagues.
Of course this is unnecessarily complicated, but instructive.
How can we design algorithms that maximize social welfare, rather than profits? This paper merges multi-armed bandits and adversarial learning with optimal tax theory and welfare economics. @maxkasy @NicoloCB @Rcolomboni buff.ly/pxPY8nj
@dariia.bsky.social
If you find this interesting and want the recording of the session, you can still get access for a donation via sites.google.com/view/dariia-...
One of my favorite parts is running OLS within the DoubleML package of @philippbach.bsky.social and colleagues.
Of course this is unnecessarily complicated, but instructive.
One year ago I gave a #CausalML Workshop for Ukraine 🇺🇦
We hand-coded DoubleML and causal forest in very few lines of code to exactly replicate their package outputs.
If you better understand theory through coding like me, check it out.
You find the R notebook now online: shorturl.at/uM82n
#RStats
🤖 Interested in machine learning, economics, and the state of AI?🤖
In September, I will teach a 1-week intensive version of my course on foundations of ML (maxkasy.github.io/home/ML_Oxfo...) in our summer school.
Apply here: ouess.web.ox.ac.uk/september-su...
Spread the word!
I am a fan of this one, though it is not diverging but converging: doi.org/10.1016/j.ec...
It is so obvious where the policy change happens that it is not even indicated...
#EctJ published a SI celebrating the seminal contributions of Philip G. Wright to causal inference in economics. Both our editorial & reproduction of Wright (1928) are free to read.
@resmedia.bsky.social @p-hunermund.com @borusyak.bsky.social @instrumenthull.bsky.social
res.org.uk/celebrating-...
Interesting new paper: arxiv.org/pdf/2503.09907
improves on both rdrobust and rdhonest!
Quite compelling... 1/n
It’s finally out! People, I’ve been hearing about this paper for so many years, but I am grateful it is out.
Andrew Baker, Brantly Callaway, Scott Cunningham,
Andrew Goodman-Bacon, Pedro H. C. Sant’Anna
www.linkedin.com/posts/andrew...
arxiv.org/abs/2503.13323
Just uploaded the first block of my lecture notes on econometrics with unobserved heterogeneity! 📊
Introduction and a block on average effects in linear models with heterogeneous coefficients — why standard estimators fail and a robust approach.
Link below.
#econsky
Screenshot of the job offer online at https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=14873
Our dept/faculty @uniinnsbruck@social.uibk.ac.at is looking for a senior scientist
- to coordinate a new master program
- to teach statistics & data science in that master (and beyond)
German skills needed. Further details & online application at:
lfuonline.uibk.ac.at/public/karri...
Among the many good things about support for 🇺🇦: Doing it together
This coordination of donations is open until tomorrow 10am CET 👇 and support via any other channel is equally good, too.
we are looking for an Associate Professor (tenure track) in applied Economics, pls share: www.timeshighereducation.com/unijobs/list...
📣Now hiring: Predoc in Economics and Data Science
We are hiring a predoc -- work at ETH Zurich on exciting projects in applied econ (political econ, education, etc.), using AI, NLP, and causal inference. Apply here: econjobmarket.org/positions/11505
🚀 Call for Papers: CREST-IFAU Workshop on Labor Market Policy Evaluation 📊
🗓 June 12-13, 2025 – Paris (Palaiseau)
🎤 Keynote: Stéphane Bonhomme (University of Chicago)
📅 Submit by: March 10, 2025
📩 Send papers (PDF) to: workshops@ensae.fr
@ifau.bsky.social
Hiring announcement: ELLIS Institute Tübingen is looking for ML Researchers & Engineers for Open-Source AI Tutoring (m/f/d). The image features a white background with bold black text and the colorful ELLIS logo at the bottom.
🚀 We’re hiring! Join Bernhard Schölkopf & me at @ellisinsttue.bsky.social to push the frontier of #AI in education!
We’re building cutting-edge, open-source AI tutoring models for high-quality, adaptive learning for all pupils with support from the Hector Foundation.
👉 forms.gle/sxvXbJhZSccr...
Adding fixed effects is supposed to reduce bias — but under realistic parameter heterogeneity, it can make bias worse
I wrote a post explaining how and why this can happen, with simulations and what you can do about it
(Video: results summary)
Links to post and Python code in replies
#EconSky
We’re looking for a motivated researcher to apply for a Marie Skłodowska-Curie postdoc with our Econometrics & Data Science group at SDU!
Focus: Causal Inference, Machine Learning, Big Data
Full support for promising projects
More info & apply:
www.sdu.dk/en/om-sdu/in...
