Behavioral/experimental/labor economist. Asst. Prof. @uni_regensburg. @aysps grad, former @ChapmanU postdoc ๐ท๐บ-๐บ๐ธ-๐ฉ๐ช @[email protected]
๐ฅณ Stoked to share that our paper with Christina Strobel, "A Taxonomy of Al Experiments," has been accepted at the Journal of Behavioral and Experimental Economics!Huge thanks to Christina for collab and to the reviewers for extremely helpful feedback!
https://t.co/fi7Da4MPAh
๐ฅณExcited to see our SI on "Artificial Intelligence and Machine Learning in Behavioural Experiments" at JBEE completed!
https://t.co/eD7CmrDLvn
Thanks to the authors, reviewers, my co-editors Monica Capra and Oliver Kirchkamp, and the editor Pablo Braรฑas Garza
If you are on the market and it feels tough, know this. You are amazing. You have come this far, be proud of yourself. Rejection hurts, but you are not your rejection. Know your worth, shine your light.
This tip will be helpful for anyone who uses Beamer-made slides (or any PDF slides in fact) with a dual-screen setup, where the slides are projected on a big screen from a laptop in extended display mode. And who cares about their neck.
https://t.co/zaR4LplDbM
Plugging in the duck race numbers, n=6000, k=100, m=3, we get about a 5% chance of winning. We didnโt win, but on the plus side it was the most rubber ducks Iโve ever seen ๐ฆ
๐ฆ Last weekend, Regensburg hosted a duck race. 6,000 rubber ducks drifting through a canal. Each duck corresponds to a lottery ticket. The first 100 ducks to finish win prizes. We bought 3 tickets. What are our odds of winning? โก๏ธ Read more: https://t.co/y9krI8YcqR
Clearly, what changes here is the number of non-winning combinations. If you buy m tickets, then this number is "n-m choose k". And then we compute the probability of winning as before, although it does not simplify nicely.
Econ PhD students doing experiments: are you doing something interesting with your econometrics? I will read your paper and give you comments!
Structural and/or Bayesian not necessary