Pietro Biroli
@pietrobiroli.bsky.social did:plc:2ziwrowp2nsfnj42u7w2uain
Applied econ @unibo interested in genes, health, human capital. Dadx2. Lactose and fascist intolerant. he/him 📉📈 https://sites.google.com/site/pietrobiroli/
Bei Bluesky seit
- Follower
- 3.436
- Folgt
- 2.738
- Posts
- 807
- Tage in Ranglisten
- 0
Zusammenfassung
Pietro Biroli (@pietrobiroli.bsky.social) ist seit 4 Juli 2023 auf Bluesky. Das Konto hat 3.436 Follower, folgt 2.738 Konten und hat 807 Posts veröffentlicht.
Ranglisten-Platzierungen
Die besten Tage, an denen Posts dieses Kontos in Debyas Tagesliste kamen.
Dieses Konto war noch in keiner Tagesrangliste.
Zuletzt gelikte Posts
Öffentliche Likes aus dem Bluesky-Netzwerk.
“People who voted in 2008 had a 45%, 37% and 29% lower risk of early death after five, 10 and 15 years, respectively — regardless of whether they voted remotely or in person, though the latter typically had a slight advantage.” — heard it here first, voting remotely rather than in person KILLS 😭
Post anzeigena bit of the answer to "how do we achieve growth?" "we obtain implied returns of 140 to 210 percent [to government-funded R&D, which] accounts for one-fifth of business-sector TFP growth www.aeaweb.org/articles?id=...
Post anzeigenMaybe! I have not done a deep dive into the paper yet (skimmed the beginning and heard Larry Katz summarize it briefly the other day).
Post anzeigenNew Census Working Paper: "Experimentally Validated Digital Twins: Evaluating Workforce Training Programs in the Age of Big Data" by Raj Chetty, Jamie Fogel, Lawrence F. Katz, Kadeem Noray, Sonya Porter, and James Reisinger www.census.gov/library/work...
Post anzeigenApplying modern machine learning techniques to big data allows for observational estimates of workforce training programs as good or better than RCT estimates.
Post anzeigen
Blockierte Konten
Blockierungen sind auf Bluesky öffentlich.