Tag Archives: causal inference

Guest post by Jeff Mosenkis of Innovations for Poverty Action The animation above comes from a cool page of causal inference animations by Nick Huntington-Klein (h/t Alex Tabarrok), which go through, step-by-step with scatterplots, how different methods work. Alex was one of many who offered helpful tips for getting through undergrad econometrics. Call for papers for the Y-Rise conference Dec 15-21 on the science of scaling promising interventions. They have research networks looking at...

Stripping a phemenon of its social context, normalizing a base rate to 50%, and seeking an on-off decision: all of these can give the feel of scientific objectivity—but the very steps taken to ensure objectivity can remove social context and relevance. Statistical Modeling, Causal Inference, and Social ScienceGaydar and the fallacy of objective measurementAndrew Gelman | Professor of Statistics and Political Science and Director of the Applied Statistics Center, Columbia University