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
https://tlarroucau.github.io/ 17-04-2012 04:21:25
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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
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…
NEW: Who Benefits from Remote Schooling? Self-Selection and Match Effects Read more from Jesse Bruhn, Chicago Booth's Chris Campos & Eric Chyn:
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:
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…
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 🙂
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.
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…
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
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.
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…
🚨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)