Ezra G. Goldstein

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Ezra G. Goldstein

Ezra G. Goldstein

@Ezragression

Assistant Prof. @sppgatech Economics Ph.D. from @floridastate Mostly @philaunion and @sixers tweets. Sometimes econ tweets.

Atlanta, GA Katılım Şubat 2011
1.2K Takip Edilen851 Takipçiler
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Ezra G. Goldstein
Ezra G. Goldstein@Ezragression·
I am delighted to share that I am joining the Georgia Tech School of Public Policy @sppgatech as an Assistant Professor next January! This was a serendipitous opportunity and I am so thankful it did not pass me by. Looking forward to starting a new chapter in Atlanta!
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Jennifer Doleac
Jennifer Doleac@jenniferdoleac·
Did you know that @Arnold_Ventures has a standing RFP for causal research proposals related to crime and the criminal justice system? Send us your ideas! We aim to get you an answer fast (within 3 months). All we need from you is a 3-page LOI that describes the intervention you're testing and the research design you're using. (Link below.)
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Philadelphia Soccer Now
Philadelphia Soccer Now@phlsoccernow·
43’ Iloski’s penalty hits the post and goes out. Still 1-0 Atlanta.
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Philadelphia Soccer Now
Philadelphia Soccer Now@phlsoccernow·
36’ It’s been all Atlanta since the goal. Union fortunate it’s still just a one-goal deficit l
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Alec Stapp
Alec Stapp@AlecStapp·
This is a really astonishing claim: Students in Mississippi & Louisiana score higher on reading tests than students in California & New York despite spending way less money per pupil and having higher child poverty rates. Decided to double check the data because, if true, this should be alarming for blue state leaders. And yup, it checks out. Reading performance (NAEP 2024, Grade 4 reading, average scale score): Mississippi: 219 Louisiana: 216 New York: 215 California: 212 Child poverty (SAIPE; “estimated percent of people age 0–17 in poverty,” 2023): Louisiana: 25.2% Mississippi: 24.3% New York: 18.6% California: 15.0% Per-pupil spending (public K–12 “current expenditures per pupil,” FY2023, inflation-adjusted to FY2023 dollars) New York: $29,588 California: $18,568 Louisiana: $14,822 Mississippi: $12,238 It should be unacceptable to spend that much more taxpayer money while delivering worse results for students.
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Nicholas Bagley@nicholas_bagley

@ProfSchleich @dbroockman @j_kalla If Democrats want to stay relevant, and to deliver for the public, they cannot wait for unions to change. They need to break more often with their friends. nytimes.com/2026/02/23/opi…

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Jennifer Doleac
Jennifer Doleac@jenniferdoleac·
It’s Pub Day! My first book, The Science of Second Chances, hits shelves today. I can’t wait to hear what y’all think. I hope you find that it fills you with hope and optimism about what is possible in the public safety space. ✨
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Pier Paolo Creanza
Pier Paolo Creanza@ppcreanza·
I'm very excited to share that I will start as Assistant Professor of Economics at @swarthmore next fall! I cannot wait to get started!
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Kyle Cheney
Kyle Cheney@kyledcheney·
BREAKING: The Supreme Court has struck down President Trump's tariff authority, saying his claim of emergency authority to issue sweeping tariffs to America's trading partners was unlawful. supremecourt.gov/opinions/25pdf…
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Jon Steinsson
Jon Steinsson@JonSteinsson·
Intermediate macro instructors: You probably need to talk about the impact of AI on the labor market. But to make contact with the notion that this can destroy jobs and potentially reduce wages you need to introduce the task-based model of production. Cobb-Douglas (or CES) just doesn't cut it for this issue. You might consider using my undergrad textbook chapter on production where I cover this topic in a way that (I hope) is accessible to undergrads (see section 7 of the chapter): jonsteinsson.com/teaching/produ… I also have a pretty detailed discussion of how technical change affects the labor share and the recent apparent fall in the labor share (section 6), which is obviously related to the AI issue.
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Lukasz Szubelak
Lukasz Szubelak@LukaszSzubelak·
This is the underappreciated view. Two variables can have a causal relationship without being linearly correlated. Especially when the effect is non-linear, or confounders cancel it out. Understanding when the absence of correlation does rule out causation is complicated but needed
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