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Prashant Garg
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Prashant Garg
@Prashant_Garg_
Postdoc @Cambridge_Uni. Joining @Unibocconi in Fall’26. PhD @ImperialCollege. My Research = economic measurement + networks + AI + Innovation.
London, UK
prashantgarg.org
Joined March 2018
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  • Pinned
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    Prashant Garg
    @Prashant_Garg_
    May 18
    We know surprisingly little about how automation will unfold outside rich countries. So we built the Global Automation Atlas: 18,000 tasks, 124 countries, and 2.3 million task-country comparisons.
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    105K
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    Prashant Garg
    @Prashant_Garg_
    Aug 8, 2020
    If we have so many doctors, why is the pandemic so bad?
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    Prashant Garg
    @Prashant_Garg_
    Nov 4, 2024
    🚨Thrilled to share our new paper "Causal Claims in Economics"! 🚨 @fetzert and I analysed over 44,000 economics papers using AI to create a knowledge graph of economics and map out causal relationships. Here's what we found 🧵👇
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    211K
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    Prashant Garg
    @Prashant_Garg_
    Dec 3, 2024
    🚨China's export bans on Gallium & Germanium 🚨 Why it matters: Gallium is central to countless downstream industries: semiconductors, aerospace, telecommunications, & more. This image shows how interconnected it is. Public data, method & our paper in thread 🧵
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    271K
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    Prashant Garg
    @Prashant_Garg_
    May 22, 2025
    My childhood dream of being covered in @TheEconomist came true. Unfortunately, it is as part of the article titled "What the failure of a superstar student reveals about economics" 😅
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    88K
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    Prashant Garg
    @Prashant_Garg_
    May 20, 2025
    Across 300,000 papers published in top 100 economics journals, more than 90% of claims use language that is causal while less than 10% are actually using causal inference methods.
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    71K
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    Prashant Garg
    @Prashant_Garg_
    Dec 6, 2024
    Public trust in science is more important than ever. But what happens when scientists openly share their political opinions on social media? Our updated paper with @EleAla & Francesco Capozza shows how academics’ political expression affects their credibility.
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    130K
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    Prashant Garg
    @Prashant_Garg_
    Jul 5, 2024
    Economists, with least pro climate tweets across academia, is a finding I personally found most interesting and sad at the same time. 🧵/
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    116K
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    Prashant Garg
    @Prashant_Garg_
    Mar 26, 2025
    In the garden of forking paths, the trees of credible evidence grew tall and thick while old theories whispered from the past.
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    Prashant Garg
    @Prashant_Garg_
    Nov 4, 2024
    Replying to @Prashant_Garg_
    Growth of "Mostly Harmless Econometrics": Use of methods like Diff-in-Diff, IV, and RCTs surged. Decline in Theoretical Work
    45K
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    Prashant Garg
    @Prashant_Garg_
    Jan 14, 2025
    🚨 New Working Paper Update! 🚨 Delighted to share our updated version of "Causal Claims in Economics" (joint with @fetzert). We analyze 44k+ NBER & CEPR working papers (1980–2023) with AI to map causal relationships. We’ve added new results on narrative complexity, paper
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    45K
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    Prashant Garg
    @Prashant_Garg_
    Nov 19, 2024
    🚨NEW DATA🚨 An input-output network between 5000 products. Check our production network interactive tool and open-access data at aipnet.io See this🧵for findings 👇
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    Peter John Lambert
    @pj_lambert
    Nov 18, 2024
    🧵 New paper uses AI to map global production networks & study recent shifts in global trade: "AI-Generated Production Networks" by @fetzert, @pjlambert, @bennetlf & @Prashant_Garg_ (1/14)
    133K
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    Prashant Garg
    @Prashant_Garg_
    Jun 19, 2024
    🚨 Exciting News! 🚨 Thrilled to announce our latest working paper with @fetzert: Political Expression of Academics on Social Media In this thread, we will highlight our key findings and contributions using a newly built dataset🧵👇
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    96K
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    Prashant Garg
    @Prashant_Garg_
    Jun 12, 2025
    Not “arguably”, Diff-in-Diff is the most popular quasi-experimental design in economics.
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    John B. Holbein
    @JohnHolbein1
    Jun 12, 2025
    Difference-in-differences for practitioners from the diff-in-diffs dream team!
    34K
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    Prashant Garg
    @Prashant_Garg_
    Feb 13, 2023
    Replying to @XDevelopers
    1. Elon Musk tells them what will happen 2. Staff has to agree, with a one week deadline 3. They start to realise how valuable the API was 4. They realise they made a mess. 5. Who knows what now
    22K
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