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Reza Salehnejad

@rezasalehnejad.bsky.social
60 followers 1.1K following 6 posts
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Reposted by Reza Salehnejad
Lukas Mergele @lukasmergele.bsky.social · 09/07/2025
And of course @akorinek.bsky.social's excellent JEL paper www.aeaweb.org/content/file...
aeaweb.org
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Aaron Sojourner @aaronsojourner.org · 14/06/2025
#TeachEcon
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Christopher Barrie @cbarrie.bsky.social · 02/06/2025
🤖💡 Are LLMs really developing social behaviors—or just reproducing familiar patterns from training? In our new paper, @pettertornberg.com and I take a closer look at recent claims of emergent conventions in AI and offer a different perspective... 🧵
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Paul Goldsmith-Pinkham @paulgp.com · 08/06/2025
ml-site.cdn-apple.com/papers/the-i...
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Ethan Mollick @emollick.bsky.social · 03/06/2025
Paper: www.researchgate.net/publication/...
researchgate.net
(PDF) Ten Benefits of Testing and Their Applications to Educational Practice
PDF | Testing in school is usually done for purposes of assessment, to assign students grades (from tests in classrooms) or rank them in terms of... | Find, read and cite all the research you need on ...
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Chris Severen @chrisseveren.bsky.social · 02/06/2025
Curious how accurate multimodal LLMs are at digitizing diversely formatted historical tables? ➡️ pretty accurate! ➡️ helps a lot with harmonization ➡️ far cheaper than manual digitization ➡️ but iterative, disciplined prompt training is important! Check out our new WP - arxiv.org/abs/2505.11599
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Derek Bruff @derekbruff.bsky.social · 03/06/2025
Meanwhile at the UVA Center for Teaching Excellence yesterday, we had a writing retreat to prepare new collections for the UVA Teaching Hub. Expect to see several new collections posted this week! First up is one with my favorite resources on in-class polling: teaching.virginia.edu/collections/...
teaching.virginia.edu
In-Class Polling for Student Engagement — UVA Teaching Hub
<p>Instead of asking our students "Any questions?" and hoping for a response, we can use polling technologies to enable and invite all of our students to share their questions and respond to ours. The...
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Ethan Mollick @emollick.bsky.social · 14/05/2025
Original paper (paywalled): www.nature.com/articles/s41... Response paper (open): www.nature.com/articles/s41... Response to response (paywalled): www.nature.com/articles/s41...
nature.com
An empirical investigation of the impact of ChatGPT on creativity - Nature Human Behaviour
The use of ChatGPT helped generate more creative ideas for various everyday and innovation-related problems, compared with not using any technology or using a conventional Web search (Google). This ef...
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Guy Berger @econberger.bsky.social · 13/05/2025
1/ The rise in larger firms' share of private sector US employment over the past 3 decades has come mostly at the expense of small ones (5-49 employees).
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Florian Ederer @florianederer.bsky.social · 13/05/2025
A new study with almost 300 Chinese student subjects replicated the main findings of our Management Science paper (Ederer & Manso 2013) that short-term pay-for-performance and lack of tolerance for early failure inhibit innovation. So happy to see this experiment still making waves!
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Joshua Gans @joshgans.bsky.social · 08/05/2025
Ohh I had this idea. Guess it didn't work.
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Ethan Mollick @emollick.bsky.social · 04/05/2025
Study in Nature: “Across 30 out of 32 evaluation axes from the specialist physician perspective & 25 out of 26 evaluation axes from the patient-actor perspective, AMIE [Google Medical LLM] was rated superior to PCPs [primary care docs] while being non-inferior on the rest.” (& AIME is an older LLM)
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John Holbein @johnholbein1.bsky.social · 04/05/2025
"ChatGPT as Economics Tutor: Capabilities and Limitations" econpapers.repec.org/paper/briuob...
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Ted Underwood @tedunderwood.com · 02/05/2025
New preprint from @lauraknelson.bsky.social, @mattwilkens.bsky.social, and myself tests different ways of simulating the past with LLMs. We don't fully answer the title question here—just show that simple strategies based on prompting and fine-tuning are insufficient. +
arxiv.org
Can Language Models Represent the Past without Anachronism?
Before researchers can use language models to simulate the past, they need to understand the risk of anachronism. We find that prompting a contemporary model with examples of period prose does not pro...
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Reza Salehnejad @rezasalehnejad.bsky.social · 03/05/2025
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Ethan Mollick @emollick.bsky.social · 02/05/2025
Paper on the economics of AI competition shows new AI models are adopted very rapidly but are not always substitutes for each other (better models in the same family often substitute, but others expand the pie). Also, people use a mix of models. andreyfradkin.com/assets/deman...
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Jón Steinsson 🗽 @jonsteinsson.bsky.social · 22/04/2025
Congratulations @s-stantcheva.bsky.social !!! Wonderful choice!
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Andrey Fradkin @andreyfradkin.bsky.social · 22/04/2025
🚨 New working paper 🚨 Demand for LLMs: Descriptive Evidence on Substitution, Market Expansion, and Multi-Homing A key question for the business of AI is the extent to which LLMs are differentiated from each other. I use data from OpenRouter to take a first look. andreyfradkin.com/assets/deman...
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Ethan Mollick @emollick.bsky.social · 20/04/2025
There is a bunch I disagree with here, but it makes an argument for why AI adoption may be less rapid and less immediately world-changing (& dangerous) than people expect. Well worth reading, as it is a useful base case where AI is just another technology. knightcolumbia.org/content/ai-a...
knightcolumbia.org
AI as Normal Technology
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Ethan Mollick @emollick.bsky.social · 15/04/2025
Large scale job displacements due to AI are likely to occur more slowly than a lot of people talking about AI and work might suspect. Translators were paid more and in more demand a year after GPT-4 than they were the year it launched. Change is likely to come, but the timing is hard to predict.
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Ivan Werning @ivanwerning.bsky.social · 14/04/2025
How Tariffs Affect Trade Deficits... ... a new paper with amazing trade economist Arnaud Costinot. Many politicians and the general public expect tariffs to reduce imports lower imports and thus work to close a trade deficit. Economists typically say "not so fast"... 🧵1/n
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Gábor Békés @gaborbekes.bsky.social · 11/04/2025
What is a recent #EconSky economics paper that has a core result that is 1. Important 2. Surprising (sign or size) 3. Decently simple Self nominations r welcome.
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Ina Simonovska @simonovska.bsky.social · 10/04/2025
Retaliation hurts! Check out our new paper to see how costly it can be for the U.S. economy.
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Daniel Rock @danielrock.bsky.social · 10/04/2025
@manuelacollis.bsky.social @clemvaneff.bsky.social this is such great work!
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Felix Geiger @flxgeiger.bsky.social · 09/04/2025
𝗡𝗲𝘄 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵: 𝗠𝗜𝗟𝗔 (𝗠𝗼𝗻𝗲𝘁𝗮𝗿𝘆-𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗔𝗴𝗲𝗻𝘁) We introduce MILA—a new AI-driven solution for analyzing central bank communication. MILA operates on individual sentences by using the macro and in-document context. 1/n
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Thiemo Fetzer 🇪🇺🇺🇦 - same handle elsewhere @trfetzer.com · 07/04/2025
Trump's tariff announcement rattle global markets. But if we zoom out and look at trade more generally it is a continuation of frictions in international trade that have started since at least 2016. Much focus has been on trade in goods, when actually trade in services has...
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International and Monetary Economics Network @intmon.bsky.social · 02/02/2025
It's high time to have another look at interesting papers like this one! "The cost of a global tariff war: A sufficient statistics approach" by Ahmad Lashkaripour. Article in the J of Int Econ: www.sciencedirect.com/science/arti... Working paper: alashkar.pages.iu.edu/Tariff_War_L...
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Ben Schneider @benmschneider.bsky.social · 03/04/2025
💥 New Working Paper 💥 While #EconSky is talking about tariffs today, @anselmkuesters.bsky.social and I investigate another "t"-term that is controversial in economics: Technological Unemployment 📄: ora.ox.ac.uk/objects/uuid... #futureofwork #econhist (1/n)
What is Technological Unemployment? Abstract:
Will robots or artificial intelligence take our jobs? At the center of the debate about the future of work is “technological unemployment”, a term that has a seemingly simple definition but has in fact been used and defined differently by economists. In this paper, we explore how
economists have discussed the potential for new techniques to replace workers since Aristotle, and how they have defined and conceived of technological unemployment over the past century. We begin with a detailed analysis of classic texts on this topic, from ancient times to
the 20th century. To capture changes in the research frontier, we quantitatively and qualitatively analyze all 153 articles that mention the term “technological unemployment” in twelve major economics journals, including the top five, since their inception. We then use the
19 editions of Paul Samuelson’s seminal textbook and a cross-section of 43 economics textbooks from the 2000s and 2010s to observe the state of discourse and changes in economics
pedagogy. Our analysis shows that economists have used a range of definitions in their
discussions of technological unemployment, and most definitions are brief and imprecise.
Economics textbooks notably omit technological unemployment in their discussions of the
relationship between technological change and employment, despite the continuing interest
in the topic in the academic literature. Nonetheless, we find a surprising consensus in our
corpus that technological change may cause unemployment. Over time, the debate around
technological unemployment has become narrower and more technical, but also more heated
during historical periods of technological anxiety. We suggest that the adoption of a clear
definition with specific temporal and scale modifiers could clarify theoretical debates and improve the precision of future empirical research on the topic, which will allow economists to speak directly to public and policy concerns
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Ethan Mollick @emollick.bsky.social · 03/04/2025
Google Gemini 2.5 is the first public AI model to definitively beat the performance of human PhDs with access to Google on hard multiple choice problems inside their field of expertise (around 81%). All AI tests are flawed, but GPQA Diamond has been a pretty good one. & conducted independently.
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Erik Brynjolfsson @erikbryn.bsky.social · 02/04/2025
Careful research by @johnlist.bsky.social and colleagues: www.science.org/doi/10.1126/...
science.org
High-frequency location data show that race affects citations and fines for speeding
Prior research on racial profiling has found that in encounters with law enforcement, minorities are punished more severely than white civilians. Less is known about the causes of these encounters and...
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Leonardo Monasterio @lmonasterio.bsky.social · 31/03/2025
Muito bom o texto do Pedro Franco para o substack do @noahpinion.blogsky.venki.dev !! Eu não conhecia o autor. Pedro é doutor pela LSE e hoje professor no Japão www.noahpinion.blog/p/how-brazil...
noahpinion.blog
How Brazil built a world-beating aircraft manufacturer
A guest post by Pedro Franco.
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Oliver Hanney @olihanney.bsky.social · 31/03/2025
Robot adoption has skyrocketed in China in the last decade. Today's article finds that this has led to a decline in employment & wages, while also influencing workers’ training & retirement decisions ⤵️
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Economics Observatory @econ-observatory.bsky.social · 28/03/2025
🌟NEW on the Economics Observatory Read @charlie-meyrick and Hannah Cantekin on ECO Fashion Week 👇
buff.ly
Style over substance - Economics Observatory
The fashion industry has changed dramatically over the past century, transformed from a collection of small Parisian boutiques into a multi-billion dollar international network of e-commerce giants.…
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The Visible Hand Podcast @visiblehandpod.bsky.social · 06/01/2025
Readvertising here: Episode 9: Raffaella Sadun on Communication in Organisations #EconSky Listen here at: www.thevisiblehand.uk/episodes/epi...
thevisiblehand.uk
Episode 9: Raffaella Sadun on Communication in Organisations — The Visible Hand
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Reilly Steel @reillysteel.bsky.social · 29/03/2025
Happy to share that my paper, "The Political Transformation of Corporate America, 2001-2022," has been conditionally accepted at the American Political Science Review (@apsrjournal.bsky.social)! Updated draft here: bit.ly/3DU4Vj7 #polisky #lawsky #econsky #academicsky
This article reconciles conflicting views about the political landscape of corporate America with new data on the revealed political preferences of 97,469 corporate directors and executives at 9,005 different U.S. companies.
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Ethan Mollick @emollick.bsky.social · 28/03/2025
There’s at least a dozen dissertations to be written from this paper by Anthropic alone, which gives us some insight into how AIs “think” and reveal a lot of complexity and unexpected abilities, including generalization and planning. transformer-circuits.pub/2025/attribu...
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Erik Brynjolfsson @erikbryn.bsky.social · 28/03/2025
Researchers benefit from coordinating on a place to post and discuss their latest research. It looks like Bluesky is becoming that place. #econsky
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Shengwu Li @shengwuli.bsky.social · 26/03/2025
If you’re a Boston-area grad student interested in behavioral economics meets computer science, come to this workshop on April 4. urldefense.proofpoint.com/v2/url?u=htt...
urldefense.proofpoint.com
Boston Economics and Computing Hub
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Teppo Felin @teppofelin.bsky.social · 26/03/2025
Here's the link: papers.ssrn.com/sol3/papers....
papers.ssrn.com
Does AI Prediction Scale to Decision Making?
Artificial intelligence (AI) excels at prediction. However, <span>the extent to which this predictive power translates into effective decision making—espec
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Mauricio Sellmann Oliveira @mausellmoli.bsky.social · 25/03/2025
‘In The Skill Code, Beane argues that acquiring mastery in any profession requires challenge, complexity and connection. But he warns that “novices are becoming increasingly optional and distant participants in an expert’s daily tasks”. He cites a number of new technologies, not just AI.’
on.ft.com
A white-collar world without juniors?
Professional business models may need to change if novices lose the opportunities to learn and progress when AI takes over their work
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MJ Yang @mjyang.bsky.social · 25/03/2025
Completely agreed, anyone interested in using AI in decision-making can learn a ton from this excellent reading list. I particularly like the papers on "AI & medical decision-making", an area for which "evidence-based" decisions have been the rage for over 3 decades..
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Garrett Johnson @garjoh.bsky.social · 19/03/2025
Great webinar featuring Alessandro Acquisti on "The Economics of Privacy at a Crossroads." Alessandro has such a wide view of the privacy literature: both its history and inside & outside of economics. www.youtube.com/watch?v=ecc9...
youtube.com
The Economics of Privacy at a Crossroads | Luohan Webinar
YouTube video by Luohan Academy
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Paul Goldsmith-Pinkham @paulgp.com · 19/03/2025
Interesting new paper: arxiv.org/pdf/2503.09907 improves on both rdrobust and rdhonest! Quite compelling... 1/n
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Neale Mahoney @nealemahoney.bsky.social · 17/03/2025
Healthcare jobs have grown 2x faster than the overall labor market since 1980 Healthcare overtook retail to become largest industry by employment in 2009 New working paper w/ @gottliebecon.bsky.social, @kevinrinz.bsky.social and @victoriaudalova.bsky.social on the rise of healthcare jobs
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Leonardo Monasterio @lmonasterio.bsky.social · 17/03/2025
Doença de custos de Baumol+ envelhecimento
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Ethan Mollick @emollick.bsky.social · 17/03/2025
The data so far on AI-as-a-tutor shows just letting students use AI chatbots can undermine education because the AI gives the illusion of learning But AIs properly prompted to act like tutors, especially with instructor support, seem to be able to boost learning a lot through customized instruction
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Ethan Mollick @emollick.bsky.social · 17/03/2025
I regret to announce that the meme Turing Test has been passed LLMs produce funnier memes than the average human, as judged by humans. Humans working with AI get no boost (a finding that is coming up often in AI-creativity work) The best human memers still beat AI, however. arxiv.org/abs/2501.11433
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Kevin Griffith @assumenormality.bsky.social · 01/02/2025
🚨HRSA's Area Health Resources Files webpage is now down. Fortunately, I built an archive of data 2000-2023 for a previous project, which can be accessed without restriction here: data.mendeley.com/datasets/dwf...
data.mendeley.com
County-level data on U.S. opioid distributions, demographics, healthcare supply, and healthcare access
This repository includes data from the Health Resources & Services Administration's Area Health Resources Files (years 2000-2001, 2004-2022), CDC Wonder, National Conference of State Legislatures, and...
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Martin Gaynor @martingaynor.bsky.social · 16/03/2025
@assumenormality.bsky.social has been kind enough to build and post an archive of AHRF data, which are a treasure trove of county level information on socio-economic-demographic characteristics, health care resources, health measures, … See below for the link.
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