Marcelo Ortiz-Villavicencio
@marcelortizv
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🇪🇨 Econ. Ph.D. Student @EmoryEconomics | Econometrics, Causal Inference and Machine Learning
Atlanta, GA
Joined May 2010
RT @pedrohcgs: To continue the public good streak, here are some cool materials that @marcelortizv has prepared for his independent study a…
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RT @pedrohcgs: I've decided to collect my DiD materials in a single place. There, you will find - 14 lectures of…
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RT @pedrohcgs: I am thinking of making my DiD materials that I used for teaching in the last 5 years available. I am hoping these would fi…
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RT @XJaravel: 1/5 Looking for a clear and gentle intro to shift-share instruments? I'm excited to release today our "practice guide to sh…
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I had a blast presenting in MEG 2024 at the University of Kentucky! Grateful for this milestone and all the support that helped make it possible. Looking forward to what’s next! 🚀
Econometrics @EmoryEconomics in the @EmoryCollege @EmoryUniversity was well represented at the Midwest Econometrics Group Conference (MEG) last week at @UKGattonCollege. 👏👏 Prof. @PesaventoElena, & @laneygradschool doctoral students @pabloestradac, @Marcelortizv, @alessiascd
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RT @instrumenthull: Very excited that "Building Non-Discriminatory Algorithms in Selected Data" (with David Arnold & Will Dobbie) is now fo…
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RT @seanjtaylor: I haven't had a chance to read yet, but looks like @StefanWager wrote the causal inference book I've always wanted! https:…
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RT @CavaliereGiu: Hi #EconTwitter! 📊 Interested in experimental designs and the use of experimental data in #economics? Check out these…
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Very helpful tips on how to read an econometrics paper!
Here are my tips for how to read an #Econometrics paper: What are yours?
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RT @QJEHarvard: Recently accepted by #QJE, “Identifying Prediction Mistakes in Observational Data,” by Ashesh Rambachan (@asheshrambachan):…
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It has been an amazing week full of optimization and econometrics at the OCE Summer School in @UChi_Economics. So nice to meet other people and learn from them as well! Looking forward to apply what I learned in my work! Thanks for organizing and the opportunity @guillaume_econ
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RT @pedrohcgs: I am now preparing some DiD lecture slides to give a talk at Amazon, and I have created this DiD Checklist. I am sharing th…
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Check out this useful and well-explained material on causal inference! Covering A/B tests, selection on observables, regression adjustment, IPW, DML, and more, + R code and simulations!
This past semester I was tasked to teach a course on Data Science for Economist at @EmoryEconomics Some of the materials I have used in the course can be found here: I‘ve leveraged a good amount of work from the greats @grant_mcdermott and @tyleransom
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RT @LarsvanderLaan3: What are the differences between one-step estimation, Double ML, and Targeted ML? This commentary (@ildiazm) and blo…
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RT @FanLiDuke: Done another semester teaching causal inference🙂. Updated my course slides, added survival data, labs, corrected more typos…
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