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Prashant Garg

@prashantgarg.bsky.social
6.4K followers 4K following 435 posts

Econ Postdoc @Bocconi. PhD @imperial. AI and measurement in economics. prashantgarg.org

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Prashant Garg @prashantgarg.bsky.social · 16/08/2026
Thanks for flagging!!!
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Prashant Garg @prashantgarg.bsky.social · 16/08/2026
Link: www.ft.com/content/ea4d...
ft.com
How economics is changing
The subject is becoming more inventive and empirical, but questions about reproducibility and AI abound
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Prashant Garg @prashantgarg.bsky.social · 16/08/2026
look ma i'm in the @financialtimes.com 😍 check causal.claims for more, @trfetzer.com and I create a framework and data for what claims are studed in economics and with what methods.
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Prashant Garg @prashantgarg.bsky.social · 11/08/2026
career update... after a sweet summer postdoc in cambridge with Ben Arold, and after living for 10 years in UK, i'm excited to move to Bocconi next month for a fashionable 2 years postdoc in Milan with Carlo Schwarz.
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Prashant Garg @prashantgarg.bsky.social · 25/07/2026
I’m so curious to see it. I suppose they may have asked Aeon the publisher
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Prashant Garg @prashantgarg.bsky.social · 21/07/2026
Oh wow… is there a link to it? Didn’t know about it
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Prashant Garg @prashantgarg.bsky.social · 13/07/2026
sorry, didn't understand the question.. the article is here: aeon.co/essays/can-a...
aeon.co
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Prashant Garg @prashantgarg.bsky.social · 24/06/2026
macrodata refinement
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Prashant Garg @prashantgarg.bsky.social · 24/06/2026
modelled my new website after severance... because it represents academic life well.. prashantgarg.org
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Prashant Garg @prashantgarg.bsky.social · 18/05/2026
This work wouldn't be possible without my amazing co-authors Tommaso Crosta and Jasmin Baier. We have a lot more planned, and would love your feedback!
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Prashant Garg @prashantgarg.bsky.social · 18/05/2026
Explore the Atlas: automationatlas.org We link exposure at various units to enable future research: county, occupation, industry, tasks, and skills. This includes our paper, open data+code and interactive visuals.
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Prashant Garg @prashantgarg.bsky.social · 18/05/2026
Second: when a task is exposed to automation, is technology substituting core worker input, or mainly augmenting workers to do the task? In most countries, substitution-oriented exposure is larger, especially in lower-income settings.
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Prashant Garg @prashantgarg.bsky.social · 18/05/2026
Preview of two results: First, automation exposure rises with income. But countries at low- and middle-income levels still differ substantially.
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Prashant Garg @prashantgarg.bsky.social · 18/05/2026
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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LSE Blogs @lseblogs.bsky.social · 12/05/2026
How do empty high streets contribute to support for populist parties in England? And what does that mean for local and national politics? Analysis from @trfetzer.com @prashantgarg.bsky.social @jacobedenhofer.bsky.social for @lsebr.bsky.social in the wake of the Reform surge in the local elections.
blogs.lse.ac.uk
How empty high streets contribute to support for populist parties in England - LSE Business Review
How does decline in local neighbourhoods impact political discourse and competition?
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Ralf Martin @mondpanther.bsky.social · 24/03/2026
New working paper with @asvalero.bsky.social, Arjun Shah & Dennis Verhoeven: Spillovers from Science cep.lse.ac.uk/_new/publica...
cep.lse.ac.uk
Spillovers from science
Quantifying spillovers from scientific knowledge to technology is important for understanding the social returns to science and for designing policy. A key challenge is how to credit scientific work with the value generated in downstream technologies when ideas diffuse through chains of follow-on research. We propose a new measure - Science Rank - that uses the combined patent and paper citation network to assign a share of the private value of patented inventions to the scientific papers they directly or indirectly rely on. Validated against various types of scientific awards, the measure substantially outperforms direct patent-to-paper citation counts in identifying influential science. We document large heterogeneity in spillovers across countries, disciplines, and institutions. The US emerges from our analysis as a powerhouse of science spillovers, benefiting both domestic and foreign technology development. We apply our methodology to examine how different countries and individual institutions contribute to innovation that addresses global challenges such as climate change or more equal economic development. We find that a relatively large share of the total value generated by research in Lower and Middle Income Country (LMIC) feeds into climate change related innovation. We also highlight countries and institutions that are making particular contributions to LMIC innovation.
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Prashant Garg @prashantgarg.bsky.social · 17/03/2026
Yup! I'm working on expanding to other fields. Waiting for some grant body to notice it ... they are pretty slow moving
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Prashant Garg @prashantgarg.bsky.social · 17/03/2026
I do plan to expand it to some other disciplines little by little :) A lot of fun questions open up !
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Prashant Garg @prashantgarg.bsky.social · 17/03/2026
As AI lowers the cost of producing papers, asking the right question matters more. I built Frontier Graph: an open-source tool to explore open questions in economics, drawing on 240K papers across 300 journals. Paper, code, and public data are all here: frontiergraph.com
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Prashant Garg @prashantgarg.bsky.social · 26/02/2026
Indeed, such network stats shine through this particularly beautifully. Another motivation is if there’s high variance across effect sizes on similar edges.
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Prashant Garg @prashantgarg.bsky.social · 26/02/2026
Yup, indeed! I’m working on other disciplines—medicine and management at the moment. More to come :)
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Prashant Garg @prashantgarg.bsky.social · 26/02/2026
Say a review helps find all such instances of X—>Y or effects of X or determinants of Y. Then another review may do something with Y—>Z. This helps connect them, eg X—>Y—>Z.
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Prashant Garg @prashantgarg.bsky.social · 26/02/2026
It is one of those but helps represents the knowledge obtained from such exercises in a way that can aggregate all systematic reviews across all topics in a common framework. (It’s the ambition — not fully there yet).
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Prashant Garg @prashantgarg.bsky.social · 25/02/2026
Makes sense!
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Prashant Garg @prashantgarg.bsky.social · 25/02/2026
Is that public somewhere? I’d like to read up on it
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Prashant Garg @prashantgarg.bsky.social · 25/02/2026
If you can think of ways this fails (and I’m sure there are many), we’d love to hear them.
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Prashant Garg @prashantgarg.bsky.social · 25/02/2026
Important caveat: we’re extracting what papers say and how they support it, not judging whether the claims are true. Perhaps, AI tools could support where economics research should go next by evaluating low-quality/fragile claims.
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Prashant Garg @prashantgarg.bsky.social · 25/02/2026
If we’re drowning in papers, we need better ways to browse and combine evidence. Treat this as a proof-of-concept. The obvious next steps are things like weighting claims by effect size/uncertainty, and showing where the evidence is coming from (country, era, data).
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Prashant Garg @prashantgarg.bsky.social · 25/02/2026
Concretely, a “claim” is: a standardized concept → another concept, plus an evidence tag. Think: policy → employment (DiD), education → earnings (IV), X ↔ Y (descriptive), etc. Here's a claim graph of two landmark economics paper
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Prashant Garg @prashantgarg.bsky.social · 25/02/2026
Paper: arxiv.org/abs/2501.06873 Code+data: github.com/prashgarg/Ca... Website: www.causal.claims
arxiv.org
Causal Claims in Economics
As economics scales, a key bottleneck is representing what papers claim in a comparable, aggregable form. We introduce evidence-annotated claim graphs that map each paper into a directed network of st...
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Prashant Garg @prashantgarg.bsky.social · 25/02/2026
It’s becoming clear the “paper” format is going to change. We treat each result as a small, portable claim (X→Y + how it’s supported) and stitch those claims into a graph. Major update to Paper with @trfetzer.com full code + data below. 👇
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Reposted by Prashant Garg
Jacob Edenhofer @jacobedenhofer.bsky.social · 30/01/2026
Great to see our paper -- with @trfetzer.com and @prashantgarg.bsky.social -- on local decline in the UK featured in this Guardian piece. www.theguardian.com/business/202...
theguardian.com
Doom loop of decline: how struggling high streets fuel far-right sympathies in UK
Retail accounts for 5% of the UK economy – but its visibility gives it an outsize influence on public perception
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Prashant Garg @prashantgarg.bsky.social · 22/01/2026
🔗 Read the full preprint: www.researchsquare.com/article/rs-8... Note: this replaces our earlier pre-print "The Changing Geography of Medical Research"
researchsquare.com
Medical research responds better to disease burden and health shocks, yet global disparities persist
Medical research remains concentrated in high-income settings, raising concerns about alignment with global health needs. Yet systematic evidence on how research responds to both disease burden and ac...
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Prashant Garg @prashantgarg.bsky.social · 22/01/2026
10/ Yes: outbreaks trigger rapid *and durable* rises in research attention. Responses are much stronger in the 2010s than before and biggest for high-salience threats. Capacity matters too: internet penetration, population structure, and research strength predict bigger mobilization.
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Prashant Garg @prashantgarg.bsky.social · 22/01/2026
9/ What about sudden shocks: Ebola, Zika, COVID? Do countries ramp up research when health emergencies hit? We test this using 3,134 WHO Disease Outbreak News alerts as quasi-random shocks to disease salience.
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Prashant Garg @prashantgarg.bsky.social · 22/01/2026
8/ In low-income countries, responsiveness growth depends heavily on these actors. Without philanthropy, responsiveness growth would shrink by ~38%. Without government support, by ~32%. (And similar patterns show up in lower-middle-income settings.)
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Prashant Garg @prashantgarg.bsky.social · 22/01/2026
7/ Funders fund differently. 🔹 Philanthropies → neglected burdens (HIV/NTDs/nutrition) 🔹 Corporations → profitable chronic diseases (cardio, cancer, diabetes/kidney) 🔹 Governments/public → somewhere in between
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Prashant Garg @prashantgarg.bsky.social · 22/01/2026
6/ Even after conditioning on burden, some topics are consistently over-/under-studied: Over: cardiovascular (+16.5%), digestive (+14.1%) Under: nutritional deficiencies (−14.4%), maternal & neonatal (−12.4%) So need ≠ attention (yet).
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Prashant Garg @prashantgarg.bsky.social · 22/01/2026
5/ The bad news: participation is still lopsided. The Global South often appears more as a research setting than a research author. Example: for neglected tropical diseases & malaria, Africa is 33% of research context, but only 14% of authorship.
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Prashant Garg @prashantgarg.bsky.social · 22/01/2026
4/ Research is getting less geographically concentrated over time, and “endemic responsiveness” (elasticity of publications to domestic DALYs) has more than doubled since 1990.
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Prashant Garg @prashantgarg.bsky.social · 22/01/2026
3/ Cardio + cancer dominate papers, while respiratory infections/TB + maternal–neonatal + nutrition + many infectious diseases carry *much* higher burden than their paper ranks suggest. but there's good news....
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Prashant Garg @prashantgarg.bsky.social · 22/01/2026
2/ We link a million papers (524 journals) to (i) diseases + (ii) geographic study context using LLM + (iii) author countries. We find that the mismatch is real...
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Prashant Garg @prashantgarg.bsky.social · 22/01/2026
Does science follow where people are sick and does it mobilize when outbreaks hit? @zhou-hy.bsky.social, @trfetzer.com and I answer just that in our revised paper. 1/ A short thread for highlights 👇
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Prashant Garg @prashantgarg.bsky.social · 03/12/2025
Thanks. Yes very related
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Prashant Garg @prashantgarg.bsky.social · 27/11/2025
Thanks!
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Reposted by Prashant Garg
Brendan Nyhan @brendannyhan.bsky.social · 22/11/2025
Cool new data set from @reubenhurst.bsky.social and coauthors: politicsatwork.org Associated papers: -Political segregation in the US workplace papers.ssrn.com/sol3/papers.... -VRscores: A New Measure and Dataset of Workforce Politics Using Voter Registrations papers.ssrn.com/sol3/papers....
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Applied Young Economists' Webinar @ayew.bsky.social · 11/11/2025
TOMORROW (12 November): AYEW Big Data/Machine Learning Workshop! Join us at 9pm AEDT (10am GMT) to @prashantgarg.bsky.social (@imperialcollegeldn.bsky.social), Zhenkai (Cambridge), Saani (University of Cincinnati), Luka (@ucsandiego.bsky.social ) Sign up for Zoom link: monash.edu/business/imp...
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Prashant Garg @prashantgarg.bsky.social · 08/11/2025
Can AI tell us anything meaningful about Bob Dylan’s songs? Delighted to share a new essay in @aeon.co breaking down an artists' evolution using AI extracted idea graphs. aeon.co/essays/can-a...
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