Bruno Ferman
@bruno_ferman
Professor at Sao Paulo School of Economics (@EconFGVSP/@EconomiaGV)/Econometrics/Applied Micro/affiliate @JPAL
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 @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
"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!
Inference with few treated units small number unit cluster clusters
🧵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!
Helpful!
🧵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!