Mike Powell
convexify.bsky.social
Mike Powell
@convexify.bsky.social
Organizational economist at Kellogg
Some of us really appreciate your posts.
May 25, 2025 at 2:34 PM
What do you think the equilibrium effects would be of grading assignments relative to how well an LLM does with minimal guidance? (Effectively replacing curves where we compare students to each other with ones where we compare them relative to AI.)
May 14, 2025 at 12:40 PM
Danana?
April 13, 2025 at 9:39 PM
It gets better. Just wait until Appendix E.
March 5, 2025 at 8:47 PM
😱
February 9, 2025 at 1:34 PM
At least it answered quckly.
February 5, 2025 at 9:45 PM
Congrats. That’s an excellent paper.
January 14, 2025 at 3:15 AM
Ok, I finally managed to slog through this paragraph, and it turns out it’s just Smith being a crypto bro.
January 7, 2025 at 4:04 AM
It definitely has pages of stuff like this in it. I’m sure he’s just describing an eigenvalue or something, but who can say?
January 7, 2025 at 1:51 AM
Did someone say non-random sampling?
December 26, 2024 at 11:26 PM
Not necessarily
December 20, 2024 at 3:11 PM
Just the kind of enrollment problem that can be solved by covering a couple weeks of general equilibrium theory at the beginning of the term.
December 19, 2024 at 11:19 PM
Is that a picture of applied theory?
December 19, 2024 at 6:01 PM
I like that when it stops working, it does so publicly, so coauthors know not to expect anything from me.
December 11, 2024 at 11:49 PM
That explains why I didn’t get any emails this year!
November 29, 2024 at 2:53 AM
In Fehr, Powell, and Wilkening (2021), we were worried about the complexity of subgame-perfect implementation mechanisms driving their poor performance, so we did something like this and found some improvements (but still inefficiencies consistent with preferences for retaliation).
November 28, 2024 at 9:38 PM
You will then wish it was baby beluga.
November 28, 2024 at 7:41 PM
I’m also willing to bet real money that people who write this kind of feedback begin their talks with “so…”.
November 23, 2024 at 9:59 PM
I guess people in different fields use “not surprising” to mean entirely different things (I’m not even sure how to formulate what my prior is when reviewing a theory paper), but I would guess they use it because it’s easier to write than a specific and convincing criticism.
November 23, 2024 at 9:56 PM
I usually interpret “these results are not surprising” as “these results tell us little that was not already known,” but it’s much less useful as feedback (and convincing as an argument) than “here is why the marginal contribution of the paper is limited given the state of the literature.”
November 23, 2024 at 9:46 PM