Tomas Larroucau (@tlarroucau) 's Twitter Profile
Tomas Larroucau

@tlarroucau

I am an Assistant Prof in Economics at ASU. My research interests are in Empirical Market design, Matching, Economics of Education and Labor.

ID: 555666110

linkhttps://tlarroucau.github.io/ calendar_today17-04-2012 04:21:25

148 Tweet

380 Followers

495 Following

Ben Zaranko (@benzaranko) 's Twitter Profile Photo

As the debate about NHS productivity rumbles on, here's a great new paper with evidence from Chile. Key finding: managers matter for hospital performance. The biggest gains come from replacing older "doctor CEOs" with new CEOs who've gone through management training.

As the debate about NHS productivity rumbles on, here's a great new paper with evidence from Chile. 

Key finding: managers matter for hospital performance. The biggest gains come from replacing older "doctor CEOs" with new CEOs who've gone through management training.
Tyler Ransom (@tyleransom) 's Twitter Profile Photo

I put together a slide deck for my master's class about how to use GPT-4 at each stage of the research process. Hopefully someone else also finds this helpful! raw.githack.com/tyleransom/DSc…

Matching in Practice (@mip_eu) 's Twitter Profile Photo

18th Matching in Practice Workshop is approaching with a great line up of speakers. Check the program here news.unil.ch/document/16836…

MIT Blueprint Labs (@blueprintmit) 's Twitter Profile Photo

Tomorrow is the kickoff of the New Directions in Market Design conference, livestreamed here: youtube.com/nbervideos Join virtually for presentations on market design in health care, education, energy, housing, and more.

Michael Dinerstein (@mikedinerstein) 's Twitter Profile Photo

Federal student loan payments have been paused since March 2020. We estimate the effect of this debt moratorium on credit outcomes. 1/7

Laura Doval (@lauradoval) 's Twitter Profile Photo

A 🧵 on our third tutorial at ACM SIGecom #EC2023 by #EllenMuir and Zi Yang Kang: "Partial Mechanism Design and Incomplete-Information Industrial Organization" on June 21 at 9.30 am ET Website: ziyangkang.com/ec'23-tutorial

Peter Hull (@instrumenthull) 's Twitter Profile Photo

Kirill Kirill Borusyak, Xavier Xavier Jaravel, and I have a new review article on shift-share instruments and other "formula" treatments/instruments Check it out here! (comments welcome) dropbox.com/s/hqertxgl3a15…

Kirill <a href="/borusyak/">Kirill Borusyak</a>, Xavier <a href="/XJaravel/">Xavier Jaravel</a>, and I have a new review article on shift-share instruments and other "formula" treatments/instruments

Check it out here! (comments welcome)

dropbox.com/s/hqertxgl3a15…
Becker Friedman Institute for Economics (@beckerfriedman) 's Twitter Profile Photo

BRIEF: When LA introduced Zones of Choice in part of the district, school quality & students' outcomes markedly improved. Read new research from Chris Campos (Chicago Booth) & Caitlin Kearns:

Peter Hull (@instrumenthull) 's Twitter Profile Photo

Our new handbook chapter w/ Josh Angrist & Christopher Walters is now available online! Check out the latest in estimating institutional quality with quasi-experimental data: authors.elsevier.com/a/1hbvF5bvkCuu…

Our new handbook chapter w/ <a href="/metrics52/">Josh Angrist</a> &amp; <a href="/c_r_walt/">Christopher Walters</a> is now available online! Check out the latest in estimating institutional quality with quasi-experimental data: authors.elsevier.com/a/1hbvF5bvkCuu…
Camille Terrier (@camilleterrier1) 's Twitter Profile Photo

Hi economists of education! Paris School of Economics is organizing a Workshop on "Educational choices and transitions in secondary and higher education". To apply, send your papers to: [email protected] Deadline: September 10, 2023. I'll be there 🙂

Hi economists of education! 

<a href="/PSEinfo/">Paris School of Economics</a> is organizing a Workshop on "Educational choices and transitions in secondary and higher education". 

To apply, send your papers to: workshop.pems@psemail.eu

Deadline: September 10, 2023.

I'll be there 🙂
Kevin A. Bryan (@afinetheorem) 's Twitter Profile Photo

Joachim Voth Stata Hypothesis: LLMs/Copilot a disaster for "less popular" languages, whether run like Stata or, say, Julia. Quality of LLM help has big increasing returns to scale. Right now, python advice >> R >> STATA. Hard to fix without millions of lines of good public code in training set.

QJE (@qjeharvard) 's Twitter Profile Photo

Recently accepted by #QJE, “The Impact of Public School Choice: Evidence from Los Angeles' Zones of Choice,” by Campos (Chris Campos) and Kearns: doi.org/10.1093/qje/qj…

Penn Electrical and Systems Engineering (@eseatpenn) 's Twitter Profile Photo

Congratulations to Rakesh Vohra who has received the INFORMS Frederick W. Lanchester Prize. The Lanchester Prize is awarded for the best contribution to operations research and the management sciences published in the past five years. meetings.informs.org/wordpress/phoe…

Congratulations to Rakesh Vohra who has received the INFORMS Frederick W. Lanchester Prize. The Lanchester Prize is awarded for the best contribution to operations research and the management sciences published in the past five years. 
meetings.informs.org/wordpress/phoe…
NBER (@nberpubs) 's Twitter Profile Photo

The causal interpretation of instrumental variables estimands of nonlinear, multivariate structural models with respect to rich forms of model misspecification, from Isaiah Andrews, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan, and Jesse M. Shapiro nber.org/papers/w31799

The causal interpretation of instrumental variables estimands of nonlinear, multivariate structural models with respect to rich forms of model misspecification, from Isaiah Andrews, <a href="/NanoBarahona/">Nano Barahona</a>, Matthew Gentzkow, <a href="/asheshrambachan/">Ashesh Rambachan</a>, and Jesse M. Shapiro nber.org/papers/w31799
Columbia Economics (@columbia_econ) 's Twitter Profile Photo

In his JMP, Dong Woo Hahm (Dong Woo Hahm) studies how to infer applicants' true preferences from school-choice data when they may not truthfully report their preferences. Key insight: uncertainties (e.g. due to tie-breaking lotteries) help identify applicants' true preferences.

In his JMP, Dong Woo Hahm (<a href="/DWHahm/">Dong Woo Hahm</a>) studies how to infer applicants' true preferences from school-choice data when they may not truthfully report their preferences. Key insight: uncertainties (e.g. due to tie-breaking lotteries) help identify applicants' true preferences.
Gustavo Ventura (@king_ofsweden) 's Twitter Profile Photo

We are very happy to present the job market candidates from ASU economics W. P. Carey School. Excellent training, ready for battle! wpcarey.asu.edu/economics-degr…

Dong Woo Hahm (@dwhahm) 's Twitter Profile Photo

🚨Even under strategyproof settings like deferred-acceptance (DA), this is often complicated by strategic "mistakes” (=deviations from truthful reporting) (Yan Chen Shengwu Li Tomas Larroucau @SSovago @adamkapor Christopher A. Neilson Assaf Romm Ran Shorrer and many more)

Tyler Ransom (@tyleransom) 's Twitter Profile Photo

New working paper from me, Peter Arcidiacono, Esteban Aucejo, and Arnaud Maurel! The paper looks at how information frictions affect college dropout and post-college labor market sorting. This IZA DP is a revision of an NBER WP from many years ago docs.iza.org/dp16585.pdf

New working paper from me, Peter Arcidiacono, Esteban Aucejo, and Arnaud Maurel! 

The paper looks at how information frictions affect college dropout and post-college labor market sorting.

This IZA DP is a revision of an NBER WP from many years ago

docs.iza.org/dp16585.pdf