Market Demand with Instrumental Variables

Overview Skipper Seabold, a well known contributor to the PyData community, recently gave a talk titled “What’s the Science in Data Science?”. His talk presents several methods commonly used in econometrics that could benefit the field of data science if more widely adopted. Some of the methods were: Instrumental Variables Matching Difference-in-Differences From what I gather, these modeling techniques are popular for discovering causal relationships in observational studies.