Michael Knaus
mcknaus.bsky.social
Michael Knaus
@mcknaus.bsky.social
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
Pinned
New WP 🚨

1. Recipe to write estimators as weighted outcomes
2. Double ML and causal forests as weighting estimators
3. Plug&play classic covariate balancing checks
4. Explains why Causal ML fails to find an effect of 1 with noiseless outcome Y = 1 + D
5. More fun facts
arxiv.org/abs/2411.11559
Reposted by Michael Knaus
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...
September 17, 2025 at 6:18 AM
🚨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
September 12, 2025 at 1:25 PM
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
May 28, 2025 at 2:11 PM
Reposted by Michael Knaus
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.
May 22, 2025 at 2:02 PM
Reposted by Michael Knaus
Our cluster Machine Learning for Science is up for 7 years more funding!
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
May 23, 2025 at 4:54 AM
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.
We are incredible happy to be able to continue our work of developing new #AI4science across a wide range of disciplines with incredible colleagues in #physics, #neuroscience, #cogsci, #geoscience, #linguistics, #economics, #medicine, #philosophy, #law and #anthropology!

@unituebingen.bsky.social
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
May 23, 2025 at 11:22 AM
Reposted by Michael Knaus
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
May 22, 2025 at 4:24 PM
Reposted by Michael Knaus
🧵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!
April 29, 2025 at 2:18 PM
Reposted by Michael Knaus
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.
April 25, 2025 at 10:25 AM
Reposted by Michael Knaus
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
April 25, 2025 at 1:02 PM
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
Introduction to Causal ML estimators in R
shorturl.at
April 25, 2025 at 10:25 AM
Reposted by Michael Knaus
🤖 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!
Foundations of Machine Learning
Research on machine learning, experimental design, economic inequality, and optimal policy
maxkasy.github.io
April 24, 2025 at 2:30 PM
Reposted by Michael Knaus
#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-...
Celebrating Philip G. Wright’s legacy: directed acyclic graphs and instrumental variables - Royal Economic Society
The Econometrics Journal published a special issue celebrating the seminal contributions of Philip G. Wright (1928).
res.org.uk
March 20, 2025 at 2:06 PM
Reposted by Michael Knaus
Interesting new paper: arxiv.org/pdf/2503.09907

improves on both rdrobust and rdhonest!

Quite compelling... 1/n
March 19, 2025 at 2:07 AM
Reposted by Michael Knaus
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
Difference-in-Differences Designs: A Practitioner's Guide
Difference-in-Differences (DiD) is arguably the most popular quasi-experimental research design. Its canonical form, with two groups and two periods, is well-understood. However, empirical practices c...
arxiv.org
March 18, 2025 at 2:17 PM
Reposted by Michael Knaus
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
March 18, 2025 at 8:50 AM
Reposted by Michael Knaus
Our dept/faculty @[email protected] 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...
March 10, 2025 at 9:11 AM
Reposted by Michael Knaus
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.
Check out a novel way to give to Ukraine with maximum impact. Pledge the max you're willing to give and if the same number of people do the same, your contribution gets squared.

Ends March 10, so hurry. More details here.

yourcontributionsquared.eu/en/
Your Contribution Squared
yourcontributionsquared.eu
March 9, 2025 at 9:02 AM
Reposted by Michael Knaus
Reposted by Michael Knaus
📣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
EJM - Econ Job Market
econjobmarket.org
February 28, 2025 at 6:10 AM
Reposted by Michael Knaus
🚀 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: [email protected]

@ifau.bsky.social
Call for papers: CREST – IFAU Workshop on Evaluating Labor Market Policies: Methods and Results - CREST
crest.science
February 17, 2025 at 10:52 AM
Reposted by Michael Knaus
🚀 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...
February 11, 2025 at 4:34 PM
Reposted by Michael Knaus
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
February 3, 2025 at 11:30 AM
Reposted by Michael Knaus
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...
Econometrics and Data Science
www.sdu.dk
January 30, 2025 at 7:43 AM