Nice!
17.11.2025 15:24 β π 2 π 0 π¬ 1 π 0@imbens.bsky.social
Nice!
17.11.2025 15:24 β π 2 π 0 π¬ 1 π 0Not just me. An Imbens and Yiqing Xu retrospective!
07.11.2025 03:57 β π 1 π 1 π¬ 0 π 0I am not a big fan of DID in general, but the setting where it is used, panel data, with a binary intervention, with possibly variation in the adoption date (staggered adoption), is very common. That module, which also covered synthetic control and related methods, was very popular.
04.11.2025 16:27 β π 2 π 0 π¬ 0 π 0Paul, check slide 25 from lecture 2.
04.11.2025 06:09 β π 1 π 0 π¬ 2 π 0Here you go.
19.10.2025 19:05 β π 1 π 0 π¬ 0 π 0Real
17.10.2025 19:22 β π 1 π 0 π¬ 1 π 0Quarterly journal of economics, 2023, coauthored with Alberto Abadie, Susan Athey, and Jeff Wooldridge. One of my favorite papers over my career.
17.10.2025 18:22 β π 2 π 0 π¬ 1 π 0It's been a pleasure working with this committee and thinking about the publication process and how things have changed or not changed, and how it can be improved.
25.02.2025 15:45 β π 1 π 0 π¬ 0 π 0My pleasure!
19.12.2024 19:50 β π 3 π 0 π¬ 0 π 0Yes, under the null of no effect (no direct effect and no spillovers), randomization inference allows for calculation of exact Fisher-style p-values. You can approximate those using robust (non-clustered) standard errors.
24.11.2024 14:55 β π 1 π 1 π¬ 0 π 0Not testable.
23.11.2024 22:25 β π 0 π 0 π¬ 0 π 0I am not sure I see that as bias.
12.11.2024 00:57 β π 2 π 0 π¬ 1 π 0