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Dominik Liebl

@dliebl.com
285 followers 142 following 24 posts

www.dliebl.com Professor of Statistics at Uni Bonn From 🥨🏔️🍻-Land. Economist socialized as nonparametric statistician #statistics #statsky #econsky #rstats

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Dominik Liebl @dliebl.com · 22/01/2026
@ccfang819.bsky.social my PhD student @unibonn.bsky.social and coauthor of the below 👇 paper is now also here at bsky. Follow recommendation 😉
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Dominik Liebl @dliebl.com · 21/01/2026
📄 Paper: arxiv.org/abs/2512.06804 📦 R package: ccfang2.github.io/fdid/ Joint work with my PhD student Chencheng Fang — he did a fantastic job. ▶️ ccfang2.github.io #CausalInference #DifferenceInDifferences #Econometrics #EventStudy #Statistics #RStats #AcademicResearch
arxiv.org
Making Event Study Plots Honest: A Functional Data Approach to Causal Inference
Event study plots are the centerpiece of Difference-in-Differences (DiD) analysis, but current plotting methods cannot provide honest causal inference when the parallel trends and/or no-anticipation a...
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Dominik Liebl @dliebl.com · 21/01/2026
• Pre-treatment: infimum-based SCBs validate the honest reference band • Post-treatment: supremum-based SCBs identify effects that truly differ from it
arxiv.org
Making Event Study Plots Honest: A Functional Data Approach to Causal Inference
Event study plots are the centerpiece of Difference-in-Differences (DiD) analysis, but current plotting methods cannot provide honest causal inference when the parallel trends and/or no-anticipation a...
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Dominik Liebl @dliebl.com · 21/01/2026
Honest causal inference accounts for this bias by testing effects against an honest reference band (zero ± bias). Our contribution: We make event-study plots honest using simultaneous confidence bands (SCBs). 🤓 We use infimum- and supremum-based SCB!
arxiv.org
Making Event Study Plots Honest: A Functional Data Approach to Causal Inference
Event study plots are the centerpiece of Difference-in-Differences (DiD) analysis, but current plotting methods cannot provide honest causal inference when the parallel trends and/or no-anticipation a...
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Dominik Liebl @dliebl.com · 21/01/2026
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
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Achim Zeileis @zeileis.org · 13/12/2025
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
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arXiv econ.EM Econometrics @econem-bot.bsky.social · 09/12/2025
Chencheng Fang, Dominik Liebl: Making Event Study Plots Honest: A Functional Data Approach to Causal Inference arxiv.org/abs/2512.06804 arxiv.org/pdf/2512.06804 arxiv.org/html/2512.06804
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Open Science @UniBonn @opensciene-unibonn.bsky.social · 25/08/2025
👋 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
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Ming Tommy Tang @tommytang.bsky.social · 17/08/2025
Applied HPC with R book-hpc.ggvy.cl/ #rstats
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Amstat-American Statistical Association @amstatnews.bsky.social · 11/08/2025
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
"Register now" with an image of a megaphone
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Khoa @khoavuumn.bsky.social · 14/07/2025
Using time series graphs to make causal claims be like
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Universität Bonn @unibonn.bsky.social · 08/07/2025
🎉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
Group photo: graduates celebrated the 20th anniversary of ist Universitätsfest in the Hofgarten.
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Dariia Mykhailyshyna @dariia.bsky.social · 04/07/2025
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?
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Dominik Liebl @dliebl.com · 04/07/2025
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
academic.oup.com
Fast and fair simultaneous confidence bands for functional parameters
Abstract. Quantifying uncertainty using confidence regions is a central goal of statistical inference. Despite this, methodologies for confidence bands in
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Dominik Liebl @dliebl.com · 28/06/2025
Zwei auf einen Streich! 😊 #EconSky #rstats
Two teaching awards.
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Vincent Arel-Bundock @vincentab.bsky.social · 06/06/2025
🚨 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
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Dani Rodrik @drodrik.bsky.social · 17/05/2025
Just learned something new. You can buy spurious citations that will show up on Google Scholar -- and people do.
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David Gaboriau @dgaboriau.bsky.social · 15/05/2025
From @newyorker.com
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Dominik Liebl @dliebl.com · 14/05/2025
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.
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Dominik Liebl @dliebl.com · 04/05/2025
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.
Foto of Grace Whaba.Grace Wahba's award winning paper.
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Universität Bonn @unibonn.bsky.social · 17/01/2025
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?
Two men and a woman laughing.
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Dominik Liebl @dliebl.com · 12/12/2024
🚨 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. 🙏
Figure contains a qr-code to the homepage of the workshop: 
https://www.mathematics.uni-bonn.de/hcm/events/workshops-conferences/workshop_functional-data-analysis-a
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λ³🎲 @cubiclogic.bsky.social · 20/10/2023
You may have all see this as an example of survivorship bias #MathSky
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Dominik Liebl @dliebl.com · 18/10/2023
You puzzled me with this plot. My first thought was that it doesn't really look like the condition mean of Y | X=x, Group=blue. 2nd thought: No! Paul is doing it right, for sure. Finally, "Sherlock"-me found the missing blue dots behind the black ones. 🕵️
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Data Colada @datacolada.bsky.social · 11/10/2023
Hello world
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Dominik Liebl @dliebl.com · 11/10/2023
Freue mich auch. Wollte Roland und die ganze Gruppe schon lange mal besuchen.
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Dominik Liebl @dliebl.com · 10/10/2023
"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...
Funny question at stackexchange.
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Simon Jäger @simonjaeger.bsky.social · 09/10/2023
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).
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Patrick Schneider @pschneider.bsky.social · 09/10/2023
There is a new feature to show some posts from other feeds in your following feed. 📈📉
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Allison Horst @allisonhorst.bsky.social · 23/08/2023
Teaching intro data science or stats in environmental sciences / ecology this fall? The lterdatasampler package is now on CRAN, with curated real world datasets from the US Long Term Ecological Research program! Check it out: lter.github.io/lterdatasamp...
A hexagonal design with the words lterdatasampler at the top. Within the border are plants, animals and weather patterns representing the different datasets currently in the package.
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Dominik Liebl @dliebl.com · 07/10/2023
Hübsch!
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Dominik Liebl @dliebl.com · 06/10/2023
Missing the metrics community too. @zeileis.org is here. Some folks from the biostats community are here under #statsky
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Sven Otto @svenotto.com · 06/10/2023
I recently experimented with Quarto, the next-gen rmarkdown. It can be used to produce wonderful online lecture sites combining theory with R code. This is a refresher in matrix algebra for my econometrics students: matrix.svenotto.com
matrix.svenotto.com
Crash Course in Matrix Algebra
A Refresher on Matrix Algebra for Econometricians with Implementation in R
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Iris van Rooij 💭 @irisvanrooij.bsky.social · 05/10/2023
Why do academics throw all scientific standards out of the window as soon as the topic is “AI”?
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Connair J. S. Russell @connairrussell.bsky.social · 28/09/2023
Groundhog for R is so good for reproducibility. You just load your packages with it and voila, anyone who runs your script will have the same package versions. One less hurdle to reproducible code. Props to the team at Wharton Credibility Lab! groundhogr.com #psychscisky
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Dominik Liebl @dliebl.com · 04/10/2023
Herbstferienlektüreempfehlung #econsky #statsky
Two books: 

Causal Analysis

Algorithmic High-Dimensional Robust Statistics
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Dominik Liebl @dliebl.com · 04/10/2023
Nice! 10 Fundamental Theorems for Econometrics and their proofs: #Econsky bookdown.org/ts_robinson1...
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Dominik Liebl @dliebl.com · 04/10/2023
I have now my own #bsky handle that matches the web address of my homepage: @dliebl.com Works like a charm with the descriptions provided below: h/t @hannesullrich.com & @davidwalsh.name
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Hannes Ullrich @hannesullrich.com · 04/10/2023
Reposting for newcomers: you can kind of self-verify on Bluesky (and have a nicer handle). #EconSky If you have a domain where you can control the DNS entries (often the case if you have a domain forwarding to or hosting your personal website), follow the quite easy instructions in the linked post:
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Dominik Liebl @dliebl.com · 04/10/2023
Mastering plotting in base-R: Excellent resource: github.com/karoliskonce...
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Stan Veuger @stanveuger.bsky.social · 03/10/2023
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Dominik Liebl @dliebl.com · 03/10/2023
Mein Computational Statistics Kurs in diesem Semester wird sowas wie ein montägliches Stats-Bootcamp. Im besten Fall wird es ein großer Spaß. Aber wahrscheinlich werfen sie ihre Kaffeebecher nach mir.
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Dominik Liebl @dliebl.com · 03/10/2023
Yeah. These arguments often become too idealistic, I think. I am more a pragmatic person. Observational is dirty and the information contained is typically unclear. I like causal inference since the assumption-framework that is used to extract information is pretty clear/discussable.
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Achim Zeileis @zeileis.org · 03/10/2023
New R/exams interface to "webexercises" pkg by @debruine.bsky.social & Dale Barr Embed #rexams exercises in static HTML, R/Markdown, Quarto, etc. Pkg still on R-Forge, replication code in alt text of first image. Try: www.zeileis.org/quiz.html #elearning #rstats
Screenshot of R/exams "deriv" exercise (numeric), rendered with webexercises, showing the correct answer and full solution.

Replication code for the entire quiz:

## installation of packages
install.packages("webexercises")
install.packages(c("exams", "exams2webexercises"),
  repos = "https://R-Forge.R-project.org")

## render quiz
library("exams2webexercises")
ex <- list(
    c("swisscapital.Rmd", "capitals.Rmd"),
    "deriv.Rnw",
    "deriv2.Rnw",
    "fruit.Rmd",
    "boxplots.Rmd",
    "ttest.Rmd",
    "function.Rmd",
    "lm2.Rnw",
    "fourfold2.Rmd"
)
render_quiz(ex)Screenshot of R/exams "capitals" exercise (multiple-choice), rendered with webexercises, showing some correct and incorrect answers and full solution explanation.Screenshot of R/exams "fruit" exercise (numeric with images), rendered with webexercises, showing an incorrect answer.Screenshot of R/exams "lm2" cloze exercise with string, multiple-choice, numeric, and single-choice elements. Rendered with webexercises.
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Dominik Liebl @dliebl.com · 02/10/2023
Freilich. Building on the shoulders... I am often deeply impressed about the impact these researchers had. (His role in eugenics does *not* belong to these impressing things.)
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Dominik Liebl @dliebl.com · 02/10/2023
📢 We are hiring! Assistant Professorship (W1) in Econometrics (with Tenure Track) We are searching for candidates interested in doing methodological research in econometrics and/or statistics. t.co/DNFDKl9R7U
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Dominik Liebl @dliebl.com · 02/10/2023
"Statistics is the grammar of science." (Karl Pearson) "Bad English is the language of science." (Jan de Leeuw)
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