Berlin School of Economics

@bsoeberlin.bsky.social

The Berlin School of Economics (BSoE) is a premier institution that integrates several Berlin universities, offering a PhD program focused on high-level research and practical training in economics. It prepares future leaders to tackle economic challenges.

Friendly reminder: The call for submissions for the Leibniz Open Science Day 2026 is open until July 31. If you're working on AI, meta-science, or open science in the social sciences, consider submitting your contribution! 👇 www.zbw.eu/de/ueber-uns...

ZBW – Leibniz Informationszentrum Wirtschaft@zbw-leibniz.bsky.social · last mo.

Leibniz Open Science Day 2026: “Scientific Rigor and Collaborative Research in the Age of AI”, 17 November 2026, Berlin (Leibniz-Association). Keynote speaker: @flxhlzmstr.bsky.social, University of Innsbruck. The call for submissions is now open until 31 July 2026: 👉 zbw.to/kchea #OpenScience

What if hiring is really an inventory problem? Tested on US nurse staffing data Alexandre Mas builds an equilibrium model of the labour market as a newsvendor: firms either hold permanent staff as a buffer or hire on the spot once demand is realised. More: www.rfberlin.com/event/alexan...

Alexandre Mas (University of California, Berkeley)

The RFBerlin Applied Economics Seminar series brings leading researchers to Berlin to share their latest work and engage with our community. We are pleased to welcome Alexandre Mas (University of…

rfberlin.com

Looking forward to having @jrgptrs.bsky.social in our research seminar this Thursday! Feel free to join. 12.15 Boltzmannstraße 20.

FU Berlin Economics @fu-berlin-vwl.bsky.social · last mo.

🗓️ Thursday, July 2: We are very happy to welcome Jörg Ankel-Peters at the Research Seminar in Economics at @freieuniversitaet.bsky.social. He will present his work on „Robustness in Empirical Economics: A Meta-Reproduction of 66 Articles from Leading Journals“. #EconFUBerlin #RseFUBerlin #EconSky

Es hat mir viel Spaß gemacht meine Erfahrungen mit der Co-Organisation der Berlin Replication Games 2025 im Podcast von @zbw-leibniz.bsky.social mit #DoreenSiegfried zu teilen. Replication Games zeigen, wie wertvoll gemeinsames Arbeiten an Replikationen und Reproduktionen sein kann!

ZBW – Leibniz Informationszentrum Wirtschaft@zbw-leibniz.bsky.social · 2mo ago

In seinem persönlichen Fazit zu den Replication Games 2025 an der FU Berlin verrät uns @janmarcus.de in unserer neuen Podcastfolge, wie Wirtschaftsforschende aller Karrierestufen spielerisch an Sinn und Herausforderung von Reproduktion und Replikation herangeführt werden: zbw.to/FWIYg #OpenScience

❗Am Montag, 18.5., diskutieren wir ab 18 Uhr beim rbb24 inforadio-Forum im DIW Berlin @diw.de über Gewalt im öffentlichen Raum. Was sagen Politik & Wissenschaft? 💬 Ich freue mich auf eine spannende Diskussion mit allen Beteiligten! 📌 Anmeldungen für die Veranstaltung sind noch möglich, siehe Link:

DIW Berlin@diw.de · 3mo ago

Gewalt im öffentlichen Raum kann das Sicherheitsgefühl innerhalb der Bevölkerung beeinträchtigen. Wie können Gewaltschutz, Strafverfolgung und langfristige Prävention zu einer Verbesserung der Lage beitragen? Darüber diskutieren wir am 18.5. ab 18 Uhr am DIW Berlin. @rbb24.de diw.de/de/diw_01.c....

DIW EVENT 
Roh und rücksichtslos: Wieviel Gewalt ertragen wir?
18. Mai 2026
18:00 – 19:30 Uhr
am DIW Berlin

A Bick, A Blandin, D Deming, N Fuchs-Schündeln, & J Jessen find large differences in AI adoption across countries, much of which are accounted for by management practices. Higher adoption rates are associated w/ + productivity growth but not w/ employment changes. cepr.org/voxeu/column... #EconSky

The upper panel shows the share of survey respondents who use generative AI for work. The lower panel reports the share of last week’s working hours spent using generative AI. For daily usage, respondents could indicate (i) no usage, (ii) less than 15 minutes, (iii) 15–60 minutes, (iv) 1–4 hours, or (v) more than 4 hours. To obtain the total minutes spent using generative AI, the authors assume daily usage of 0, 7.5 minutes, 37.5 minutes, 2.5 hours, and 4 hours for each option, respectively. Weekly usage is calculated by combining daily usage with the reported number of days used. If respondents report using generative AI on ‘some days’ (rather than one or all days), the authors assume they used it on half of their working days. For non-users, the share of work hours using generative AI is mechanically 0.

The economic impact of generative AI will depend on the speed and breadth of adoption by workers and firms. Drawing on a survey of workers in the US and six European countries and a firm survey covering 32 European countries, this column explores the speed of AI adoption across countries and whether an ‘AI gap’ will exacerbate existing productivity differences between the US and Europe. There are large differences in AI adoption across countries, much of which are accounted for by management practices. Higher AI adoption rates are associated with faster productivity growth but not with changes in employment.