Teaching material: https://github.com/MCKnaus/causalML-teaching
Homepage: mcknaus.github.io
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
imprs.is.mpg.de/application
ellis.eu/news/ellis-p...
imprs.is.mpg.de/application
ellis.eu/news/ellis-p...
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
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
Check it out:
mcknaus.github.io/OutcomeWeigh...
#causalSky #causalML
Check it out:
mcknaus.github.io/OutcomeWeigh...
#causalSky #causalML
Great job by @philipp.hertie.ai, @ulrikeluxburg.bsky.social and the cluster team.
@unituebingen.bsky.social
Great job by @philipp.hertie.ai, @ulrikeluxburg.bsky.social and the cluster team.
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!
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!
Of course this is unnecessarily complicated, but instructive.
Of course this is unnecessarily complicated, but instructive.
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
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
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!
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!
@resmedia.bsky.social @p-hunermund.com @borusyak.bsky.social @instrumenthull.bsky.social
res.org.uk/celebrating-...
@resmedia.bsky.social @p-hunermund.com @borusyak.bsky.social @instrumenthull.bsky.social
res.org.uk/celebrating-...
improves on both rdrobust and rdhonest!
Quite compelling... 1/n
improves on both rdrobust and rdhonest!
Quite compelling... 1/n
Andrew Baker, Brantly Callaway, Scott Cunningham,
Andrew Goodman-Bacon, Pedro H. C. Sant’Anna
www.linkedin.com/posts/andrew...
arxiv.org/abs/2503.13323
Andrew Baker, Brantly Callaway, Scott Cunningham,
Andrew Goodman-Bacon, Pedro H. C. Sant’Anna
www.linkedin.com/posts/andrew...
arxiv.org/abs/2503.13323
Introduction and a block on average effects in linear models with heterogeneous coefficients — why standard estimators fail and a robust approach.
Link below.
#econsky
Introduction and a block on average effects in linear models with heterogeneous coefficients — why standard estimators fail and a robust approach.
Link below.
#econsky
- 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...
- 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...
This coordination of donations is open until tomorrow 10am CET 👇 and support via any other channel is equally good, too.
Ends March 10, so hurry. More details here.
yourcontributionsquared.eu/en/
This coordination of donations is open until tomorrow 10am CET 👇 and support via any other channel is equally good, too.
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
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
🗓 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
🗓 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
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...
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...
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
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
Focus: Causal Inference, Machine Learning, Big Data
Full support for promising projects
More info & apply:
www.sdu.dk/en/om-sdu/in...
Focus: Causal Inference, Machine Learning, Big Data
Full support for promising projects
More info & apply:
www.sdu.dk/en/om-sdu/in...