Dominik Liebl
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dliebl.com
Dominik Liebl
@dliebl.com
www.dliebl.com
Professor of Statistics at Uni Bonn
From 🥨🏔️🍻-Land.
Economist socialized as nonparametric statistician
#statistics #statsky #econsky #rstats
@ccfang819.bsky.social my PhD student @unibonn.bsky.social and coauthor of the below 👇 paper is now also here at bsky. Follow recommendation 😉
Event-study plots in DiD are incredibly persuasive—but, honestly, not always honest.

Why?
If parallel trends or no anticipation fail, DiD estimates are biased. Testing against a zero-effect null then becomes misleading.

🚨New 📄: arxiv.org/abs/2512.06804

#CausalInference #EconSky #StatsSky #rstats
January 22, 2026 at 8:40 AM
Event-study plots in DiD are incredibly persuasive—but, honestly, not always honest.

Why?
If parallel trends or no anticipation fail, DiD estimates are biased. Testing against a zero-effect null then becomes misleading.

🚨New 📄: arxiv.org/abs/2512.06804

#CausalInference #EconSky #StatsSky #rstats
January 21, 2026 at 9:29 AM
Reposted by Dominik Liebl
These are the materials for our 1-semester course

Introduction to Programming with R

It's geared towards 1st-year bachelor students without any prior programming experience. #rstats

discdown.org/rprogramming/
discdown.org
December 13, 2025 at 10:40 PM
Reposted by Dominik Liebl
Chencheng Fang, Dominik Liebl: Making Event Study Plots Honest: A Functional Data Approach to Causal Inference https://arxiv.org/abs/2512.06804 https://arxiv.org/pdf/2512.06804 https://arxiv.org/html/2512.06804
December 9, 2025 at 6:35 AM
Reposted by Dominik Liebl
👋 Our first post!

We are the #ResearchData & #OpenAccess Service Centers at @unibonn.bsky.social.

We:
📖 fund OA publications
📝 consult & train on data management
🎓 offer tools for processing & sharing research data

We'll share insights, resources & updates from our work!
#OpenScience #UniBonn
August 25, 2025 at 7:58 AM
Reposted by Dominik Liebl
Applied HPC with R book-hpc.ggvy.cl/ #rstats
August 17, 2025 at 1:45 PM
Reposted by Dominik Liebl
StatFest 2025 is here and it's free and virtual. Undergrad students from historically underrepresented groups connect with industry experts in statistics, data science, and academia. Sept. 11, 18, & 25. Register today. community.amstat.org... #StatFest2025 #DataScience #Statistics #STEMCareers
August 11, 2025 at 7:10 PM
Reposted by Dominik Liebl
Using time series graphs to make causal claims be like
July 14, 2025 at 12:12 PM
Reposted by Dominik Liebl
🎉Congratulations to our graduates 2025!
Forever Uni Bonn - Over 2,000 graduates celebrated the 20th anniversary of its Universitätsfest — with over 5,000 of their friends and family — a new record. Read more www.uni-bonn.de/en/news/20-j...
(c) Marc John/Uni Bonn
#UniversityOfBonn #ForeverUniBonn
July 8, 2025 at 9:40 AM
Reposted by Dominik Liebl
Hi #EconSky! I will be teaching intro statistics with #rstats next academic year. Any suggestions for free learning resources for students and/or teaching materials?
July 4, 2025 at 4:12 PM
Nice thread on simultaneous confidence bands (SCBs) by @noahgreifer.bsky.social !

Not many papers explore varying critical values—despite cool uses like narrower or fairer bands.

Bit of shameless self-promo if you're into this 😉:
academic.oup.com/jrsssb/artic...

#econsky #statsky
July 4, 2025 at 5:48 PM
Zwei auf einen Streich! 😊
#EconSky #rstats
June 28, 2025 at 1:37 PM
Reposted by Dominik Liebl
🚨 Big milestone for Rdatasets 🚨

The web archive now hosts 3400+ free and documented CSV datasets. Fantastic for teaching and testing!

And {Rdatasets} is a new #RStats 📦 for easy download and search

Web archive: vincentarelbundock.github.io/Rdatasets

R 📦: vincentarelbundock.github.io/Rdatasetspkg
June 6, 2025 at 5:39 PM
Reposted by Dominik Liebl
Just learned something new. You can buy spurious citations that will show up on Google Scholar -- and people do.
May 17, 2025 at 7:41 PM
Reposted by Dominik Liebl
May 15, 2025 at 10:05 AM
New working paper:

"Testing the Missing Completely at Random Assumption for Functional Data,"
joint work with Max Ofner*, S. Hörmann and D. Kraus.

As far as we know, it's the first paper on testing MCAR for functional data.

*Look out for this smart guy.
link 📈🤖
Testing the Missing Completely at Random Assumption for Functional Data (Ofner, H\"ormann, Kraus et al) We consider functional data which have only been observed on a subset of their domain. This paper aims to develop statistical tests to determine whether the function and the domain over
May 14, 2025 at 6:58 PM
Grace Wahba, "the mother of smoothing splines," won the International Prize (aka the Nobel) in Statistics #stats for her representer theorem.
youtu.be/8Ae_QzwwR_U?...

So well deserved! I guess, one could also give her the price again in two years for her work on Generalized Cross-Validation.
May 4, 2025 at 5:01 PM
Reposted by Dominik Liebl
Played through Sportify? We got you. Pointed and scientific - that's the #Hypothesis #Podcast from the #UniversityofBonn.

Listen now: www.uni-bonn.de/de/universit...

For our next episodes: Which topic would interests you the most?
January 17, 2025 at 2:41 PM
🚨 To all scientists interested in functional data analysis:

Functional Data Analysis:
Workshop in Honor of Alois Kneip
Date: June 12-13, 2025

Registration: Open until January 26, 2025

www.mathematics.uni-bonn.de/hcm/events/w...

Pls help spread the word. 🙏
December 12, 2024 at 8:40 AM
Reposted by Dominik Liebl
You may have all see this as an example of survivorship bias
#MathSky
October 20, 2023 at 11:32 AM
Reposted by Dominik Liebl
Hello world
October 11, 2023 at 1:44 AM
"I have a feeling he is deceiving himself."

(I know it's old, but it's such a beautiful short story.)

#statssky #econsky

stats.stackexchange.com/questions/18...
October 10, 2023 at 3:43 PM
Reposted by Dominik Liebl
Riesige Glückwünsche an Claudia Goldin zum diesjährigen Nobelpreis für Wirtschaftswissenschaften! Worum geht es bei ihrer Forschung? Ein paar Eindrücke aus ihrer Forschung zum Arbeitsmarkt (auf deutsch).
October 9, 2023 at 3:31 PM
Reposted by Dominik Liebl
There is a new feature to show some posts from other feeds in your following feed. 📈📉
October 8, 2023 at 11:20 PM