Group items tagged

"n a recent article in the New York Times, the development economist Seema Jayachandran discusses three studies that used Randomised Controlled Trials (or RCTs) to understand the benefits of enhancing the self-worth of poor people. Despite wide differences in context, all the cases explore the viability of 'modest interventions' to 'instill hope' in marginalised communities, concluding that 'remarkable improvements' in the quest for poverty reduction are possible."

"My colleague Jamie Robins and I are working on a book that provides a cohesive presentation of concepts of, and methods for, causal inference. Much of this material is currently scattered across journals in several disciplines or confined to technical articles. We expect that the book will be of interest to anyone interested in causal inference, e.g., epidemiologists, statisticians, psychologists, economists, sociologists, political scientists, computer scientists… The book is divided in 3 parts of increasing difficulty: causal inference without models, causal inference with models, and causal inference from complex longitudinal data. We are making drafts of selected book sections available on this website. The idea is that interested readers can submit suggestions or criticisms before the book is published. To share any comments, please email me or visit @causalinference on Facebook. To cite the book, please use "Hernán MA, Robins JM (2018). Causal Inference. Boca Raton: Chapman & Hall/CRC, forthcoming.""

"new report from the Economic Policy Institute calls attention to the hardy perennial of how much America's corporate titans make: bosses of the top 350 firms made an average of $18.9m in 2017. That's a ratio of 312-1 over the median worker in their industries. Big bucks to be sure. And a big change since 1965, when the ratio was just 20-1. But what does it mean? And if there's a problem, what is it, exactly? What it means, as the EPI economists carefully document, is that the top US corporate chiefs are paid overwhelmingly with stock options, and their income fluctuates with the market. About 80% of the pay packet is in stocks, and the rise of 17% in 2017 after two flat years surely suggests that the top CEOs (not unreasonably) sensed the market peaked last year. So they cashed in. On the other 20% of the pay packets, no gains occurred"

"As AI systems become more general and more useful in the real world, ensuring they behave safely will become even more important. To date, the majority of technical AI safety research has focused on developing a theoretical understanding about the nature and causes of unsafe behaviour. Our new paper builds on a recent shift towards empirical testing (see Concrete Problems in AI Safety) and introduces a selection of simple reinforcement learning environments designed specifically to measure 'safe behaviours'."