Published inTowards Data ScienceIs Your Standard Error Robust?Practical Guide to Picking the Correct SpecificationSep 5, 20181Sep 5, 20181
Published inTowards Data ScienceFrontiers of Recommendation Systems & DiversityCritical Reading: Papers from 2011 ACM RecSys and Management ScienceJul 24, 2018Jul 24, 2018
Published inTowards Data ScienceThe Making of Great HypothesisHow Bill and Melinda Gates’ favorite book Factfulness will leapfrog your data science practiceJul 17, 20185Jul 17, 20185
Published inTowards Data ScienceThe Holy Grail of Causal InferenceWhat is Structural Estimation?Jun 19, 2018Jun 19, 2018
Published inTowards Data ScienceWhy is academic writing so dense?I analyzed 100K papers to find out.May 24, 20182May 24, 20182
Published inTowards Data ScienceCausal Inference 101: Difference-in-differencesAsk data: who pays for mandated benefits?Apr 24, 20181Apr 24, 20181
Published inTowards Data ScienceThe Danger of Eyeball Data ScienceDoes unemployment benefit make people lazy?Apr 15, 20181Apr 15, 20181
Lecture 2: Public Finance III @ Stanford UniversityIn this lecture, Professor Perrson tackles the problem of asymmetric information. We will see two Nobel-winning models, and discuss ways to…Apr 9, 2018Apr 9, 2018