Research Scientist working on causal inference. The Anna Wintour of slide decks. If you have something to say, say it with a nice plot #rstats

Joined September 2009
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Catch me on the other site: @ maibennett.com (same as my website). I’ve also got a few codes if anyone needs some.
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magdalena bennett retweeted
Es difícil encontrar el #Plan90 de Kast donde dice "buscar e 'inflar' activamente periodistas afines" o "agobiar" a la oposición con medidas para los primeros 90 días de gobierno. Lo dejo disponible para que la prensa y la sociedad civil 👇 drive.google.com/file/d/10ev…
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magdalena bennett retweeted
Timothée Chalamet stuns as Kevin from the Backstreet Boys
Mar 15
Timothée Chalamet wows in white on the #Oscars red carpet (📸 Getty)
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Me, any time I get an ill-informed (or flat out stupid) response from an anonymous account:

ALT Mad Men I Feel Bad For You GIF

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Macroeconomistas. Macroeconomistas everywhere. 🙄
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Mar 15
Causal machine learning reveals that the heterogeneous impact of job displacement can be predicted in advance; there is substantial heterogeneity within firms and education groups, from @Susan_Athey, Lisa K. Simon, Oskar Nordström Skans, Johan Vikström, and Yaroslav Yakymovych nber.org/papers/w34946
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Mi columna en @thecliniccl: la derrota de la espuria alianza entre el PDG y el progresismo para controlar la Cámara. Una derrota con Pamela Jiles que dice mucho sobre el estado de la oposición y los díscolos al gobierno de José Antonio Kast. theclinic.cl/2026/03/14/perd…
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Cual es el sentido de poner un limite arbitrario a <30 años en gratuidad (solo Us)? Son <2500 estudiantes en primer año el 2025, y eso no impide que esos cupos sean ocupados el prox año por estudiantes sub-30 con gratuidad. El ahorro es mínimo y parece solo show para la galeria
Kast presentó proyecto de Reconstrucción Nacional: Medidas incluyen ajustes a la gratuidad, IVA, agilización de permisos y más cnnchile.com/pais/kast-prese…
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Poniendome al dia con las encuestas (gracias @daniloherrerad!), vamos a cambiar el dicho a “mas feo que diapositiva de Mayol”.
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magdalena bennett retweeted
I spent Friday with researchers and practitioners at a @JPAL_NA convening, talking about the value of causal evidence (including RCTs) for making policy work better. A question that came up again and again is how to move forward in this moment of uncertainty about research funding. I’m grateful that @Arnold_Ventures is committed to this policy space, so our funding isn’t going anywhere. And now (via an AV grant) more funding - as well as practitioner-researcher matchmaking - is available from @JPAL_NA as well. I realize that lots of researchers would prefer to do descriptive or qualitative work in the CJ space, or to work in other policy areas entirely. I can’t help there, and do feel for you. But I can offer encouragement and support if you want to join us in testing what works in the crime/CJ space. There is lots of work to do here, and hunger from policymakers for new ideas that are actually effective. I’ll link to our RFP below. If you’re a researcher interested in pivoting into this space/type of work, email me so that we can try to pull you into upcoming events/opportunities.
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Suggestions on best (e.g. good performance, not crazy expensive) VMs where I could run some heavy, one-off, computations in R? I have a total of like 8T of data and I need to combine geospatial data by state (largest state is like 1T). Azure? AWS? All suggestions welcome #rstats
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magdalena bennett retweeted
Two weeks left to submit to the Valle Nevado Workshop on Economics of Education. Great papers and a fantastic ski 🇨🇱⛷️!! When: August 19-22. Where:@Valle_Nevado, Chile. Confirmed speakers: John Friedman (Brown) and Steve Pischke (LSE). @hdl_uandes @uandes @econ_conf
🚨📢 3rd Workshop on Economics of Education, Valle Nevado, Chile ⛷️ (Aug 19-22) 2 weeks left to submit (March 2nd): uandes.cl/workshop-on-econom… Don't miss the opportunity to present and ski with world experts in econ of ed... 2024 Edition: youtu.be/Qb3gw1IFjnk?si=bmcg… #EconTwitter
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But why is this important? Measuring discrimination in labor markets is not easy, especially because a lot of the times we lack data (on recruitment, performance, etc.). Sports labor markets have the advantage of having *a lot* of data... and who doesn't like that? 7/n

ALT Paul Rudd GIF

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This app allows us to look at the recruitment process at diff stages, and to have objective measures of performance throughout a players' career. And in this case, it could be that early decisions (HS) could compound disparities later on as well (NFL). Anyways, this was fun! 8/8

ALT Have Fun GIF

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🚨Working Paper Alert🚨 "QB or Not QB? Measuring Discrimination in Football Labor Markets" TL;DR I find that there is significant discrimination when recruiting QBs from HS to college (and from coll to the NFL!) based on their race.. and this costs teams wins🏆 and money💰 1/n
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If some teams discriminate, how much does that cost them? I do some sims under a scenario where teams randomly choose a QB with a similar HS performance to the one I obs. Teams that are likely to discriminate would ⬆️ their prob of winning significantly if they didn't (6.5%) 6/n
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Ok, but it could be that recruiters are trying to max the performance of _the team_.. so they track non-white QBs to other positions (most likely, a wide receiver (WR)). However, it doesn't look like HS QBs are better WR than... WRs. In fact, it appears like they are worse 5/n
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Ok, non-white QBs are less likely to be recruited.. so what? Maybe they are worse? Not according to the data 📊 They have diff play styles (e.g. pocket passers vs dual threats), but QBs of color still tend to outperform white QBs in relevant measures 4/n
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There is a significant diff in recruitment (for both the transition to college and to the NFL), which is probably not surprising to anyone that has watched football. One interesting thing is that for HS recruitment, there results are moderately robust to hidden bias 🤓 3/n
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To assess whether there's actual discrimination, I use a benchmark and an outcome test. The 1st one shows diff in recruitment cond on other vars. The 2nd one shows diff in performance by race. Gaebler & Goel(2024) show that under a monotonicity asspt, at least one test is right!

ALT Oh Wow You Dont Say GIF

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