Charles Angelucci

Economist @MITSloan

[George Georgiadis @gjgeorgiadis]

I’m pleased to share that Orgs Insights—a specialized LLM for personnel and organizational research—has just been updated Now features a larger corpus of content, optimized retrieval, and the flexibility to choose the LLM model that best fits your needs.
https://t.co/04uE8MfeZb

[Elliott Ash @ellliottt]

This is an amazing JMP by @NLonguetMarx , going on both poli sci and econ markets.

Combining text analysis and causal inference with IO to get at supply and demand for policy

[Robert Metcalfe @RDMetcalfe]

4. Nicolas Longuet-Marx (@nlonguetmarx) studies political economy and environmental economics through empirical IO methods. His work delves into recent U.S. political shifts, examining blue-collar voter realignment, rising polarization, and factors influencing environmental policy support.
Website: https://t.co/mohsHLxupI

[Roi Orzach @OrzachRoi]

Happy to see my second year paper finally come out and very grateful to the OE community at MIT for encouraging me throughout

[Timothy Caulfield @CaulfieldTim]

Are people more likely to accurately evaluate misinformation when the political stakes are high? Haha, no https://t.co/Fdn8ZZQ1hs

"People aren’t more likely to evaluate accuracy correctly during the fever pitch of an election season — they’re less likely, and by a meaningful margin."

by @jbenton via @NiemanLab @Angelucci_Ch @andreapratnyc @DG_Rand @doritmi @DrJenGunter @picardonhealth

[AEA Journals @AEAjournals]

Forthcoming in AEJ: Economic Policy: "Who Watches the Watchmen? Local News and Police Behavior in the United States" by Nicola Mastrorocco and Arianna Ornaghi. https://t.co/urbVQHFgrz

[NBER @nberpubs]

Elections amplify partisan news bias. Just before the 2020 US election, people were 11 percent more likely to believe true news favoring their party, vs 4 percent outside election season, from Charles Angelucci, Michel Gutmann, and @andreapratnyc https://t.co/TLFNpT4DNu

[Opinion Today @OpinionToday]

Beliefs About Political News in the Run-up to an Election: A model of news discernment exploring the influence of elections on the formation of partisan-driven parallel information universes.
(@Angelucci_Ch @michelgutmann @andreapratnyc)
More:
https://t.co/5TgizOcWRl

[Saumitra Jha @saumjha]

In our Political Trenches paper, we provide a concrete example of local recruiting (among other things) through the example of Corporal Louis Barthas, whose war-time notebooks are a very useful trench-level source on the war. He was from Peyriac-Minervois, and was, lo and behold, recruited (along with many of his fellow-villagers, into what became called the "Minervois" squad) into the regiment we expect: the 280eme RI, which was the reserve for the 80eme RI. These were mustered from Narbonne, and he is clear that the soldiers were from the zone. Later in the war, he does move regiments, first to the 296, also from the Midi region, and finally a Breton regiment. However, we are interested in the intent to treat effect, which of course, should be, if anything, conservative.

[NBER @nberpubs]

Key organizational trade-offs can rationalize institutional change, such as the emergence of medieval self-governing towns and parliaments during the Commercial Revolution, from Charles Angelucci, Simone Meraglia, and Nico Voigtländer https://t.co/QP6SqEHkju

[AEA Journals @AEAjournals]

Forthcoming in the AER: "Data, Competition, and Digital Platforms" by Dirk Bergemann and Alessandro Bonatti. https://t.co/kkNWyP9gAQ

[Vincent Pons @VinPons]

Please share: we are looking for a part- or full-time RA (master or PhD) for projects on the drivers and effects of national election outcomes with @benjaminmarx and @vincent_rollet.
Flexible location and start date. Pls send a short email and CV at [email protected] if interested!

[The Review of Economic Studies @RevEconStudies]

Anais Fabre (TSE), Hugo Reichardt (LSE), Milan Quentel (UPF), Morgane Richard (UCL) and Paul-Henri Moisson (TSE).

[AEA Journals @AEAjournals]

Most US voters are able to identify basic facts about current events. But age, education, gender, income, and ethnicity appear to play an important role, even more than partisanship, say researchers at @MITSloan and @Columbia_Biz. #ResearchHighlight https://t.co/CDRoEIqM8r

[Elton Coleman @Recoverwithcole]

Interesting finding by @Angelucci_Ch and @andreapratnyc:

the ability to distinguish real from fake news is driven much more by demographics (age, education, gender, ethnicity,...) than party affiliation

[The Journalist's Resource @JournoResource]

Has the death of truth been greatly exaggerated?

New research suggests that “the average person is very well capable of distinguishing mainstream real news,” says @Angelucci_Ch.

Coverage of the research, forthcoming in @AEAjournals, from our @cmerref:

https://t.co/Lrt7o8xDjG

[AEA Journals @AEAjournals]

Forthcoming in the AER: "Is Journalistic Truth Dead? Measuring How Informed Voters Are About Political News" by Charles Angelucci and Andrea Prat. https://t.co/MIT9TBJFmc

[Alexey Makarin @alexeymakarin]

🚨PREDOC JOB ALERT🚨

My colleague Charles Angelucci (@Angelucci_Ch @MITSloan) and I are looking to hire a pre-doctoral fellow!

Students interested in media economics and political economy, and wishing to pursue a Ph.D. in economics are especially welcome to apply.

✅ Apply here: https://t.co/pzpp1py91f

@econ_ra @predoc_org
#EconJobs #Predoc

[Alexey Makarin @alexeymakarin]

Our colleague at @MITSloan Applied Economics has been missing since Friday, last seen in Rochester, NY. Please spread the word if you know someone in the area.

[econimate @econimate]

Is journalistic truth dead?

@Angelucci_Ch & @andreapratnyc on how informed U.S. voters are about political news:

https://t.co/rHki6WllVS

(@MITSloan, @columbia_econ)