Matt Blackwell
@mattblackwell.bsky.social
data, causal inference, experiments, politics
https://mattblackwell.org
https://mattblackwell.org
Haha, I have no memory of tweeting this!
September 23, 2025 at 8:05 PM
Haha, I have no memory of tweeting this!
Melissa Dell’s study of persistence of the Mita (forced mining labor) in peru would also be a pretty good reference point for a study like this. Though she didn’t look at political outcomes iirc
September 10, 2025 at 8:15 PM
Melissa Dell’s study of persistence of the Mita (forced mining labor) in peru would also be a pretty good reference point for a study like this. Though she didn’t look at political outcomes iirc
“that point is orthonormal to the discussion”
May 15, 2025 at 10:11 PM
“that point is orthonormal to the discussion”
Unfortunately, partial identification is usually only achieved in terms of population parameters. Still have to deal with sampling uncertainty!
May 10, 2025 at 4:35 PM
Unfortunately, partial identification is usually only achieved in terms of population parameters. Still have to deal with sampling uncertainty!
Yes, we call this omitted interaction bias. Hadn’t seen the ReStat article but glad to see people raising the issue in Econ as well!
May 9, 2025 at 11:54 PM
Yes, we call this omitted interaction bias. Hadn’t seen the ReStat article but glad to see people raising the issue in Econ as well!
The other aspect of this is that LLMs turn us from creators to evaluators and editors. But to be successful editors and evaluators, we need to know enough to (a) judge the output accurately and (b) fix the output as needed.
May 8, 2025 at 2:15 AM
The other aspect of this is that LLMs turn us from creators to evaluators and editors. But to be successful editors and evaluators, we need to know enough to (a) judge the output accurately and (b) fix the output as needed.