Back in 2017-18, a friend told me that Yale SOM banned laptops in MBA classes

My syllabi have a footnote recommending the same 2017 @dynarski.bsky.social review that @gregsasso.bsky.social shared. This semester I also looked at Nicholas Decker's recent blog post

www.brookings.edu/articles/for...

nicholasdecker.substack.com/p/should-we-...

Rosenbaum, Observation and Experiment

Accessibility is *absolutely* key but also hard because of the curse of knowledge. I've written down some writing advice here: www.the100.ci/2024/12/01/w.... If you're more of a technical person, consider teaming up with a substantive researcher for instant audience access.>

Citations always needed checking! Just as one example, I used to see my sole authored 2013 paper cited as “Lin et al” coz Google Scholar’s bib had an error :)

I think of the 2019 Nobel as the 2nd wave of the experimental part of the credibility revolution. Ashenfelter, Card, & Lalonde’s work led to major job training RCTs in the US, and Angrist was one of Duflo’s advisors. Ashenfelter has a nice speech on the early history

legacy.iza.org/en/webconten...

I like this from @vamrhein.bsky.social et al. I assigned it to my class last semester and tried to explain that p-values measure how compatible (vs. surprising) the data are with the null, given our assumptions. But yeah, tests & CIs are hard to understand!

www.blakemcshane.com/Papers/natur...

Orley Ashenfelter's papers often have good introductions. Here's Ashenfelter & Plant

www.journals.uchicago.edu/doi/abs/10.1...

Koenker & Geling is one of my favorites

www.jstor.org/stable/2670284

This is written for economists, but I think it’s very helpful more generally

www.aeaweb.org/articles?id=...

In case this is of interest, even ANCOVA I is consistent and asymptotically normal in completely randomized experiments (though II is asymptotically more efficient in imbalanced or multiarm designs)