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
https://t.co/QKZi6wAxp9
@cristinepinto16
💡 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
🚨 New WP!
"Rooting for the same team: on the interplay between Political and Social Identities in the Formation of Social Ties"
With @Nicolas_Ajz and @bruno_ferman
Link: https://t.co/1dlv5Ij241
🚨 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: https://t.co/Ffr4QmCyTU
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 https://t.co/xOLrRPA9aq
🥳🥳
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
💡New Working Paper💡Nonlinear Treatment Effects in Shift-Share Designs
with @luigieras.
Link: https://t.co/xNxySOQ1hH
Shift-share instruments are a widely used tool in Economics.
"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:
👇
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.
🧵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!
🧵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!