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Paul Hünermund is on Bluesky Profile picture
Paul Hünermund is on Bluesky
@PHuenermund
This account is permanently inactive. Find me at: https://t.co/6pqaIc6kxY
Mar 13, 2023 • 10 tweets • 4 min read
Since @Andrew___Baker called for a break day, let's go back to our favorite Twitter activity of 2020... discussing DAGs! I'm very happy that our paper "Causal Inference and Data Fusion in Econometrics" is finally forthcoming in the Econometrics Journal. academic.oup.com/ectj/advance-a… 1/ In this paper, we review the advances that have been made in the causal AI literature in recent years and discuss their value for empirical work in econometrics and adjacent disciplines (such as political science, sociology, and management). 2/
Sep 28, 2022 • 6 tweets • 4 min read
We just posted a substantially expanded version of our paper "On the Nuisance of Control Variables in Regression Analysis" (w/ @beyers_louw): arxiv.org/abs/2005.10314

Main message: Don't bother reporting the coefficients of controls, because they are likely to be biased anyway. Image Citations for the arXiv version are coming in nicely, so people seem to find the paper useful. The succinct format as a research note seems to be appreciated too. But some of the more intricate aspects of the argument might have been a bit glossed over in the previous version.
Jul 12, 2022 • 9 tweets • 3 min read
Jetzt kann man natürlich der Meinung sein, dass es keine gute Sache ist, wenn Professor:innen so viel nebenbei machen. Für den Wissenstransfer muss das aber gar nicht so schlecht sein. 🧵 1/9 Eine interessante Fallstudie dazu liefert die Abschaffung des sogenannten "Professorenprivilegs" in 2002. Mein ehemaliger Advisor an der KU Leuven, Dirk Czarnitzki, hat dazu ein interessantes Papier. papers.ssrn.com/sol3/papers.cf… 2/9 Image
Jul 12, 2022 • 5 tweets • 4 min read
Happy to see our paper "The Choice of Control Variables: How Causal Graphs Can Inform the Decision" (w/ @beyers_louw & M. Rönkkö) included in the best paper proceedings of the 82nd Annual Meeting of the Academy of Management. #AOM2022 @AOMConnect journals.aom.org/doi/epdf/10.54… 1/5 We present practical recommendations on how to choose suitable control variables for regression analyses – a topic which seems to cause quite some confusion in the management literature (if you ever read the phrase "if in doubt leave out" you know what I'm talking about). 2/5 Image
Jun 24, 2022 • 13 tweets • 6 min read
This is my favorite teaching example for showing the importance of #CausalInference: @Google conducts an annual pay equity analysis in which they use fairly advanced statistical techniques. In 2019 they found that they were actually underpaying MEN?! npr.org/2019/03/05/700… 1/ Image What do they do specifically? They collect a lot of data (as Google does) and then run OLS regressions of annual compensation on demographic variables (gender, race) and other explanatory variables such as tenure, location, and performance. services.google.com/fh/files/blogs… 2/ Image