@bruno_ferman

Professor at Sao Paulo School of Economics (@EconFGVSP/@EconomiaGV)/Econometrics/Applied Micro/affiliate @JPAL

 Sao Paulo, Brazil
sites.google.com/site/brunoferman/home?authuser=0
Joined March 2020
  • Tweets852
  • Following1.5K
  • Followers2.4K
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I’ll keep as my pinned Tweet links to the threads my co-authors and I wrote on our papers: 1) Ferman and Pinto: Inference in DID with few treated xitter.cf/bruno_ferman/status/15… @cristinepinto16
Bruno Ferman@bruno_ferman22 Jun 2022
💡 Inference in difference-in-differences with few treated clusters 💡 Ferman and Pinto (2019) was published a couple of years ago, when I was not on Twitter. But I think it’s not too late to write a thread on it. 1/12
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Bruno Ferman retweeted
Vitor Possebom@PossebomVitorApr 29
The best part of teaching is meeting so many amazing students! Congrats, @luigieras, @tudobelleza, @haddadliv, @bern_perrotti, @davissiqueira, Maurício, @thiagogncosta! I am super happy for all of you!
Sao Paulo School of Economics – FGV@EconFGVSPApr 29
We are very happy for our master's students who were accepted to amazing Ph.D. programs! Congratulations to them all!
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We are very happy for our master's students who were accepted to amazing Ph.D. programs! Congratulations to them all!
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🚨 New WP! Do mothers actually become less productive after having children? The answer seems to be NO! @DiogoBrittoBr, @bruno_ferman, @alex_fonseca__, @Brenorsampaio, @LucasWarwar, and I answer this question in a unique setting: Brazilian judges. Link: papers.ssrn.com/sol3/papers.…
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Academic economists forming connections on social media show a bias toward certain races, genders, and elite institutions, say researchers at @mcgillu, @EconFGVSP, and @MIT. #Chart aeaweb.org/research/charts/d…

Bias in academic networking

A social media field experiment suggests that gender, race, and university affiliation influence the formation of professional relationships among economists.

aeaweb.org
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Research highlight from our paper in AER insights :) With @PedroSant_Anna and @bruno_ferman.
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🥳🥳 Our paper Discrimination in the Formation of Academic Networks: A field Experiment on #EconTwitter has just been published in the American Economic Review: Insights. with @bruno_ferman and @PedroSant_Anna
AEA Journals@AEAjournals27 Aug 2025
The September 2025 issue of AER: Insights (7, 3) is now available online at aeaweb.org/issues/815.
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💡New Working Paper💡Nonlinear Treatment Effects in Shift-Share Designs with @luigieras. Link: lnkd.in/ec_jCsSA Shift-share instruments are a widely used tool in Economics.
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"This study estimates the carbon-efficient forest cover in the Brazilian Amazon. A $10/ton carbon tax could preserve 95% of the efficient carbon stock, avoiding 42B tons of CO2 & yielding $1.6T in welfare gains." New paper from @AraujoCRRafael, @_FranciscoCosta & Sant'Anna: 👇
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Are you unsure about how to conduct inference when you only have a few treated units? @lafalvarez, @bruno_ferman, and Wüthrich will help you! Check their easy-to-read survey paper to learn how to use many state-of-the-art tools in this setting.
Bruno Ferman@bruno_ferman29 Apr 2025
🧵New survey paper: "Inference with Few Treated Units" Alvarez (@lafalvarez), Ferman (@bruno_ferman) and Wüthrich Tired of referees saying your standard errors are wrong? This survey will help you understand if you really have a problem — and, if so, how to fix it!
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🧵New survey paper: "Inference with Few Treated Units" Alvarez (@lafalvarez), Ferman (@bruno_ferman) and Wüthrich Tired of referees saying your standard errors are wrong? This survey will help you understand if you really have a problem — and, if so, how to fix it!
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Inference with few treated units small number unit cluster clusters
Bruno Ferman@bruno_ferman29 Apr 2025
🧵New survey paper: "Inference with Few Treated Units" Alvarez (@lafalvarez), Ferman (@bruno_ferman) and Wüthrich Tired of referees saying your standard errors are wrong? This survey will help you understand if you really have a problem — and, if so, how to fix it!
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7) Ferman, Lima and Riva: AI, Teacher Tasks, and Individualized Pedagogy xitter.cf/friva_/status/13617161… @Lycia_Lima @friva_
Flavio Riva@friva_16 Feb 2021
🚨🚨🚨***** New Working Paper - Artificial Intelligence, Teacher Tasks and Individualized Pedagogy *****🚨🚨🚨@EconTwitter Joint work with @bruno_ferman and @Lycia_Lima, hope you find it as interesting as we did! Link to full paper: drive.google.com/file/d/1xcY…
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8) Alvarez, Ferman and Wüthrich: Inference with Few Treated Units xitter.cf/bruno_ferman/status/19… @lafalvarez Kaspar is no longer with us on #EconTwitter...
Bruno Ferman@bruno_ferman29 Apr 2025
🧵New survey paper: "Inference with Few Treated Units" Alvarez (@lafalvarez), Ferman (@bruno_ferman) and Wüthrich Tired of referees saying your standard errors are wrong? This survey will help you understand if you really have a problem — and, if so, how to fix it!
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Helpful!
Bruno Ferman@bruno_ferman29 Apr 2025
🧵New survey paper: "Inference with Few Treated Units" Alvarez (@lafalvarez), Ferman (@bruno_ferman) and Wüthrich Tired of referees saying your standard errors are wrong? This survey will help you understand if you really have a problem — and, if so, how to fix it!
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4/ Extreme case: you have only 1 treated and N₀ controls. The true variance is σ₁² + σ₀²/N₀. But with only one treated, you just don’t have enough info to estimate σ₁² using only 1 treated! Robust SEs simply set σ̂₁² = 0! 😵‍💫 σ₁²: var of treated σ₀²: var of control
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15/ Applied folks: we hope this serves as a warning that standard inference may fail with few treated units + guidance on choosing alternatives. Econometricians: we wanted to provide a state-of-the-art overview — and a call for new methods based on alternative assumptions!
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That's a quick overview! For more details, check out the full survey 📚👇 Link: arxiv.org/abs/2504.19841 Hope you find it helpful! Feedback welcome. 🧠✍️

Inference with few treated units

In many causal inference applications, only one or a few units (or clusters of units) are treated. An important challenge in such settings is that standard inference methods relying on asymptotic...

arxiv.org
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