//
sign in
Profile
by @danabra.mov
Profile
by @dansshadow.bsky.social
Profile
by @jimpick.com
AviHandle
by @danabra.mov
AviHandle
by @dansshadow.bsky.social
AviHandle
by @katherine.computer
EventsList
by @katherine.computer
ProfileHeader
by @dansshadow.bsky.social
ProfileHeader
by @danabra.mov
ProfileMedia
by @danabra.mov
ProfilePlays
by @danabra.mov
ProfilePosts
by @danabra.mov
ProfilePosts
by @dansshadow.bsky.social
ProfileReplies
by @danabra.mov
Record
by @atsui.org
Skircle
by @danabra.mov
StreamPlacePlaylist
by @katherine.computer
+ new component
ProfilePosts






Loading...
Before the credibility revolution, everything was incredible.
NEW: We connected school attendance value-added estimates (for 2022-23 through 2024-25) to statewide survey data on school-based attendance practices. Our goal was to identify effective attendance strategies (e.g., specific practices, organizational systems, staffing, leadership). What did we find?🧵
Had a great time at the FLX Econ of Ed conference this year. Special shoutout to @mariabzhu.bsky.social for organizing, and specifically for having name tags where you can actually read people's names!
Looking forward to the bunching conference tomorrow and Saturday! There will be explainer talks for people new to these methods. If you want to watch the talks remotely, there's a Zoom link on the program: www.gregoriocaetano.net/resources/Bu...
Great paper that I teach in my Econ of Ed class. It's well-known that, while No Excuses charter schools are great for test scores, other charters aren't. But this paper shows that plenty of non-No Excuses charters with zero/negative test score impacts might nonetheless be great schools.
New preprint! We reanalyze 46 papers that use log-like specifications (ln(Z+1), inverse hyperbolic sine etc). We find widespread non-robustness, and we show through theory + simulation how these models drive spurious significance. 1/ doi.org/10.31222/osf...