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Weekly links March 12: Even more DiD, deforestation lowers productivity, how to procrastinate productively, and more… · A couple of follow-ups to Scott Cunningham’s Mixtape book. First, Thomas Caputo has created python code for the book (to complement the Stata and R code already available). Second, Scott has started a substack he is calling the Remix, which will have deep dives into more methods papers – starting with a discussion of the Callaway and Sant’anna difference-in-differences with multiple time periods paper. · If you want a nice illustration of when staggered DiD causes issues and discussion of different solutions, video of this talk by Andrew Baker and the associated commentary by Pedro Sant’anna is well worth a watch (as is the point made by the other discussant Edmund Schuster of the importance of theory in helping understand when differential dynamic effects may arise). See also Andrew’s paper and code. ....
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Arianna Rosenbluth Dies at 93; Pioneering Figure in Data Science Dr. Rosenbluth, who received her physics Ph.D. at 21, helped create an algorithm that has become a foundation of understanding huge quantities of data. She died of complications of the coronavirus. Dr. Arianna Wright Rosenbluth in 2013. She helped create what has become one of the most important algorithms of all time. Credit.via Rosenbluth family Published Feb. 9, 2021Updated Feb. 15, 2021 The Metropolis algorithm, a technique for generating random samplings, started out as a way to understand a fundamental problem: how atoms rearrange themselves as solids melt. Over the decades, the Metropolis algorithm and its subsequent variations have been put to a vast number of uses and now serve as an underpinning to understanding critical challenges of our age, including making sense of huge volumes of data, predicting election outcomes and understanding Covid-19’s spread. ....