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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/

En Bluesky desde el

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Pietro Biroli (@pietrobiroli.bsky.social) es un usuario de Bluesky que se unió el 4 julio 2023. Tiene 3.436 seguidores, sigue a 2.738 cuentas y ha publicado 807 posts.

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  • Julia M. Rohrer@dingdingpeng.the100.ci

    “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 😭

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  • Paddy Carter@paddycarter.bsky.social

    a 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=...

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  • Joshua Goodman@joshua-goodman.com

    Maybe! I have not done a deep dive into the paper yet (skimmed the beginning and heard Larry Katz summarize it briefly the other day).

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  • Dani Sandler@dismalscientist86.bsky.social

    New 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...

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  • Dani Sandler@dismalscientist86.bsky.social

    Applying modern machine learning techniques to big data allows for observational estimates of workforce training programs as good or better than RCT estimates.

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