Gábor Békés
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gaborbekes.bsky.social
Gábor Békés
@gaborbekes.bsky.social

Economics Associate Prof, CEU Vienna.
Trade, applied IO, organisations. sites.google.com/site/bekesg
Author, "Data Analysis for Business, Economics, and Policy" (Cambridge UP) https://gabors-data-analysis.com/
@arsenalfc fan. .. more

Economics 56%
Business 25%
Pinned
Cultural homophily is persistent, pervasive, and consequential, even in superstar multinational teams of high-skill people with common objectives, doing well defined, interactive, not particularly culture intensive tasks.
pubsonline.informs.org/doi/abs/10.1...
Oh, we use football data. #EconSky
We are honored to announce Dariia Mykhailyshyna (@dariia.bsky.social) as a Keynote for useR! 2026 in Warsaw!

A postdoctoral researcher at the Kyiv School of Economics and a recent PhD graduate from the University of Bologna, Dariia has been an avid R user for seven years.
user2026.r-project.org

Reposted by Gábor Békés

One thing every tech company is doing but few share with anyone:

evaluating AI tools for devs - for coding, for infra (eg gateway), for code review etc. Tons of vendors, unclear which one to buy.

Share what you / your team found, and I'll share what others are seeing and what they measure (cont'd)

Yes clear event study time design is super key.

I recall @koren.mk found some issues for stata re base time
koren.dev/software/
Software
Lorem ipsum dolorem
koren.dev

Reposted by Gábor Békés

I've been wondering if pyfixest syntax is ideal for the new DiD estimators - what moderndid does seems to make very good sense to me - first there is a model class call, and then users can specify aggregation levels of ATTs. This is more or less the same API that the R did package uses:

I just learned the term #FAFO.
It's legit in international context, ok. But can I use it in college classrooms?

@s3alfisc.bsky.social Alex can you not combine? Id rather keep pyfixest syntax as gold standard.
There is a new-ish Python package, moderndid, that implements almost all of the "modern" DiD estimators:
github.com/jordandekler...
GitHub - jordandeklerk/moderndid: Python package implementing modern DiD estimators with diagnostic tools and sensitivity analysis.
Python package implementing modern DiD estimators with diagnostic tools and sensitivity analysis. - jordandeklerk/moderndid
github.com

Reposted by Gábor Békés

yeah the CLI is wolframscript, this is the MCP tool i used: github.com/paraporoco/W...
GitHub - paraporoco/Wolfram-MCP: MCP server for Wolfram Language mathematical computations
MCP server for Wolfram Language mathematical computations - paraporoco/Wolfram-MCP
github.com

Gábor is human and can make mistakes.
Please double-check responses.

Massive coolness factor.

Reposted by Gábor Békés

[Trying this again with the right pictures!]
Really pleased with this paper -- posting a new version with a better discussion of the previous literature, some new results on calendar-time portfolios, and some fixed errors!

paulgp.com/papers/finan...

I used to think like this.
Then I saw musk posts on destroying the eu and said I dont wanna be part of it.
Bc BlueSky is pretty weak and i no longer see a bold future as is, this means accepting that what used to be EconTwitter is gone.
Sad. But so it goes.
We condemn the scandalous US visa ban on former EU Commisioner Breton and digital activists. Protecting democracy isn’t censorship. ✋🏼

Disinformation isn’t free speech. Europe won’t take lessons from those undermining democracy and free speech.

Here in Europe we set our own laws. 🇪🇺✊🏼

Reposted by Gábor Békés

🎁 ECONM Advent Calendar – Day 22! 🎁

Congratulations to the research team of @gaborbekes.bsky.social & 𝗖𝗹𝗮𝘂𝗱𝗶𝗮 𝗦𝘁𝗲𝗶𝗻𝘄𝗲𝗻𝗱𝗲𝗿 on their outstanding European research collaboration in the project “Globalization and Industrial Policy: Evidence from the Austro-Hungarian Monarchy (IP-KuK)”!👏

Pyfixest forever.
As everyone is querying LLMs for research these days, sometimes I check PyFixest's SEO game by asking "How can I estimate fixed effects regression problems in Python?". GTP: a) linearmodels b) statsmodels c) hand rolled d) call Julia / R from Python. Pf not (yet) recommended for arcane reasons.

Reposted by Gábor Békés

As everyone is querying LLMs for research these days, sometimes I check PyFixest's SEO game by asking "How can I estimate fixed effects regression problems in Python?". GTP: a) linearmodels b) statsmodels c) hand rolled d) call Julia / R from Python. Pf not (yet) recommended for arcane reasons.

Reposted by Gábor Békés

AI policy, winter update (minor)
gabors-data-analysis.com/aipolicy/

Comments welcome

One idea for Christmas or Hanuka.
@leleka.care
givebutter.com/Leleka25YE
"This winter, your impact is doubled. Thanks to a generous matching commitment by the Fooksman Family Foundation, all gifts made by December 31, 2025 will be matched dollar-for-dollar, up to $100,000. Your Gift Saves Lives"
Ukrainian medics are saving lives every day. You can help them save more.
By Leleka Foundation
givebutter.com

While selection is indeed a major issue, maybe filtering on demographic observables could help. This would mean that maybe comparison over time only work for some sub populations where coverage is OK at every period.

super interesting problem, and I'm stunned by sharp decline.

Cost of free speech: evidence from social media review program for h1b visa (job market paper title from 2027)

travel.state.gov/content/trav...
Announcement of Expanded Screening and Vetting for H-1B and Dependent H-4 Visa Applicants
travel.state.gov

Tried. Does not really work.

One reason I delay this is that where should I share stuff like this to reach out of echo chamber?
www.youtube.com/shorts/NvsDU...

Loved @andrew.heiss.phd post.
This was mine.
gabors-data-analysis.com/aipolicy/
Ideas for january review welcome

Yes it did.
But building a first can be organic.
Building up a competitor to a network is hard

I mean, anti X, anti Trump stuff not enough.
I can only speak re #EconSky. It started off but eventually most ppl, r still back at x or linkedin.

Imho it needs to be 10x /100x bigger, more diverse. Vast majority of ppl not political.
I think building a network is hard.
Some closing thoughts for my students this semester on LLMs and learning #rstats datavizf25.classes.andrewheiss.com/news/2025-12...