Diversifying college applications Nageeb Ali and Ran Shorrer discuss the optimal strategy for applying to college.

When admissions are correlated, diversifying your college applications is the optimal strategy. We spoke with Nageeb Ali and Ran Shorrer of Penn State about why the standard advice to apply to reach, match, and safety schools is sound. www.aeaweb.org/research/app...

14.01.2026 13:05 — 👍 10    🔁 2    💬 0    📌 0

Since this is my sabbatical and will be teaching only one class, I’d love to share my research more widely, so if anyone is interested in inviting me for a research seminar, I’d be very happy to visit. Especially anywhere within a 5-6 hour driving distance from SF (I hate flying!).

05.12.2025 22:34 — 👍 0    🔁 0    💬 0    📌 0

Yesterday was my temporary last class at USF, and on the same day, I signed a contract to join @ucberkeleyofficial.bsky.social as a visiting Assistant Professor of Economics.

05.12.2025 22:34 — 👍 1    🔁 0    💬 1    📌 0

Richard H. Thaler and Alex Imas, "The Winner's Curse: Behavioral Economics Anomalies, Then and Now" (Simon and Schuster, 2025) - New Books Network

Interested in "irrational" economic behavior? Check out my interview with @aleximas.bsky.social on his new behavioral economics book "The Winner's Curse" posted on @newbooksnetwork.bsky.social. My co-host on this episode is my colleague @robizon.bsky.social. newbooksnetwork.com/the-winners-...

17.11.2025 04:59 — 👍 1    🔁 2    💬 0    📌 0

New study shows that unfettered access to ChatGPT can harm student learning.

Without guardrails, students use ChatGPT as a “crutch” while learning and subsequently perform worse on their own.

But (!) these negative learning effects are largely mitigated by safeguards one can build into ChatGPT.

26.06.2025 13:33 — 👍 37    🔁 11    💬 4    📌 2

I’m hosting a Session at #WEAI100: STRUCTURAL BEHAVIORAL ECONOMICS
🗓 Sun, Jun 22 | 10:15–12 PDT
📍 SF Marriott Marquis, L2, Foothill D
Papers on:
🎮 Nationalism in games
🚕 Market homophily
💡 Online Knowledge contributions
🔥 Hot-hand belief
#WEAI #BehavioralEcon #Econsky

16.06.2025 16:42 — 👍 1    🔁 0    💬 0    📌 0

Adversarial Debiasing for Unbiased Parameter Recovery Advances in machine learning and the increasing availability of high-dimensional data have led to the proliferation of social science research that uses the predictions of machine learning models as p...

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We are excited to share our new working paper:
arxiv.org/abs/2502.12323
If you use ML predictions (like remote-sensed data) as outcomes, the resulting regression coefficients can be biased by measurement error. With @megan-ayers.bsky.social @mdgordo.bsky.social @eliana-stone.bsky.social

17.03.2025 19:30 — 👍 54    🔁 14    💬 4    📌 4