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Alex Alekseev

@aalexee.bsky.social

750 followers 140 following 45 posts

Behavioral/experimental/labor economist interested in AI/robots/automation. Assistant Professor at the University of Regensburg, former Chapman ESI postdoc, GSU AYSPS grad. 🇷🇺-🇺🇸-🇩🇪 aalexee.com

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Alex Alekseev @aalexee.bsky.social · 19d

Inspired by this amazing graphic that I found at a ramen place in Brno

Alex Alekseev @aalexee.bsky.social · 19d

How to participate in an ESA meeting

Step 1. Attend plenary talks
Step 2. Attend sessions
Step 3. Attend social events
Step 4. Meet new people and catch up with old friends
Step 5. Oh no, the conference is over
Step 6. Lie down
Step 7. Try not to cry
Step 8. Cry a lot

@ecscienceassoc.bsky.social

Alex Alekseev @aalexee.bsky.social · Sep 8

Big thanks to @fialalenka.bsky.social and @i4replication.bsky.social for the replication games in Brno. It was fun. We loved the songs! 🤘

Lenka Fiala @fialalenka.bsky.social · Sep 8

The Brno Replication Games were a success!🥳 Many thanks to our awesome replicators who spotted a range of coding errors and fixed incorrectly specified models. Many thanks also to @econmuni.bsky.social for having us: you are the reason economists love coming back every year😊

Alex Alekseev @aalexee.bsky.social · Sep 6

👏 Huge thanks to @milosfisar.bsky.social and the team at @econmuni.bsky.social for a fantastic @ecscienceassoc.bsky.social meeting in Brno

#econsky

Alex Alekseev @aalexee.bsky.social · Aug 8

iOS autocorrects “tex” as “Tex”
It autocorrects “xetex” as “XeTeX”
It does not autocorrect “latex”

Can you guess what it autocorrects as “listed”?

🤔

Alex Alekseev @aalexee.bsky.social · Jul 30

🎉 Excited to share that my paper "The (Statistical) Power of Incentives" has been accepted at the Journal of the Economic Science Association! @ecscienceassoc.bsky.social

Thanks to everyone who helped me on this journey.

ssrn.com/abstract=408...

#EconSky

The (Statistical) Power of Incentives

I study the optimal design of monetary incentives in experiments where incentives are a treatment variable. I propose a novel framework called the Budget Minimi

Alex Alekseev @aalexee.bsky.social · Jul 14

Remember, your .tex file is just text. Use any editor you like. Dedicated LaTeX editors are great for typesetting, but you can use other editors.

Share your LaTeX writing tips below! 👇

Alex Alekseev @aalexee.bsky.social · Jul 14

Personalize. Choose a font you love (not just a default), and find a theme that feels right.

Alex Alekseev @aalexee.bsky.social · Jul 14

Next, adjust your editor's line width. A narrower column (80 chars) is way easier to read than a full-screen line.

Alex Alekseev @aalexee.bsky.social · Jul 14

First, ditch the split-screen. Close that PDF preview while you're writing. Focus on the words, not the layout.

Alex Alekseev @aalexee.bsky.social · Jul 14

I have written up a few tips for making writing in TeX a bit more enjoyable. You can read the full post at medium.com/@alexander.g... The main points are below ✍️ #LaTeX #WritingTips

Alex Alekseev @aalexee.bsky.social · Jun 24

🔍 Our goal is to help researchers choose the most appropriate type of AI experiment for their question.

Let us know what you think.

Alex Alekseev @aalexee.bsky.social · Jun 24

4/ Natural AI experiments
These take place in real-world settings, such as A/B tests run by organizations. AI is used as it would be outside the study. These experiments achieve maximum external validity.

Alex Alekseev @aalexee.bsky.social · Jun 24

3/ Quasi-natural AI experiments
These experiments use existing, real-world AI (like ChatGPT), but in a lab environment. This balances realism with control

Alex Alekseev @aalexee.bsky.social · Jun 24

2/ Stylized AI experiments
Here, AI is implemented specifically for a study. These setups allow researchers to explore complex and dynamic human-AI interaction with a lot of control.

Alex Alekseev @aalexee.bsky.social · Jun 24

1/ Conceptual AI experiments
These experiments use AI as a label or framing device, no AI is actually implemented. Common in vignette or survey-based studies. They are easy to run but have low external validity

Alex Alekseev @aalexee.bsky.social · Jun 24

🚨 New WP!
📄 “A Taxonomy of AI Experiments” — Aleksandr Alekseev & Christina Strobel (2025)
ssrn.com/abstract=529...

We introduce a taxonomy to help researchers make sense of existing AI experiments and better design their own.

🧵 Here's a brief overview of our approach:

A decision tree diagram showing how to classify AI experiments into four types based on how the AI is used. The first decision asks: “Is AI a label or is it implemented?” If the answer is “Label,” the experiment is classified as a Conceptual AI experiment. If “Implemented,” the next question is: “Is AI implemented specifically for a study?” If yes, the experiment is a Stylized AI experiment. If no, the next question is: “Is AI used in a controlled or natural environment?” If “Controlled,” the experiment is a Quasi-natural AI experiment. If “Natural,” it is a Natural AI experiment.

Alex Alekseev @aalexee.bsky.social · Feb 16

I wonder if anyone at JPE cares about its readers' eyesight. The text in some graphs is virtually unreadable. It's like 2pt. And yet the font size for panels is always HUGE.

Alex Alekseev @aalexee.bsky.social · Feb 12

My new favorite quote:
"The 95% confidence intervals of the means are omitted owing to their insignificant width, given the sample size (n = 35.2 million)"

doi.org/10.1038/s415...

#Econsky

The Moral Machine experiment - Nature

Responses from more than two million people to an internet-based survey of attitudes towards moral dilemmas that might be faced by autonomous vehicles shed light on similarities and variations in ethi...

Alex Alekseev @aalexee.bsky.social · Feb 12

I think it is appropriate to decline. The editors who invite you should can see your refereeing status (the last date you agreed, reviews in progress), so it's on them to make sure that you are not overloaded with requests.

Alex Alekseev @aalexee.bsky.social · Feb 7

It's pretty rare to see a paper on the history of econ thought in Top-5, but Magness, P. W., & Makovi, M. (2023) made it. A fascinating read.

doi.org/10.1086/722933

Alex Alekseev @aalexee.bsky.social · Feb 3

Garcı́a, J. L., Heckman, J. J., & Ronda, V. (2023) use a pretty neat way to visualize ATEs: using stacked bar graphs with the differences between the treatment and control on the top. Seems to be a good solution when you have a bunch of effects to show.

doi.org/10.1086/722936

Alex Alekseev @aalexee.bsky.social · Feb 1

POV: You don't really know a person until you ask them to review a paper

Reposted by Alex Alekseev

Vincent Arel-Bundock @vincentab.bsky.social · Jan 13

I'm excited to release the 𝚝𝚒𝚗𝚢𝚝𝚊𝚋𝚕𝚎 for #RStats ! Convert R dataframes to beautiful tables in HTML, LaTeX, PDF, Quarto, Markdown, etc. Easy to learn; minimalist interface; concise syntax; ultra-customizable tables; and zero dependency. vincentarelbundock.github.io/tinytable/

Reposted by Alex Alekseev

Grant McDermott @gmcd.bsky.social · Jan 26

Stoked to announce a new release of `plot2`, the powerful and lightweight (0-dep) extension for #rstats base plotting! github.com/grantmcdermo...

What's new? A bunch of things, including area plots and facets. Draw plots like the below with simple function calls.