This course introduces the theories of inference underlying most statistical methods. It covers how new approaches to research methods, data analysis, and statistical theory are developed. With this foundation, we introduce (and reinvent) a wide variety of known statistical solutions to a wide range of social science data problems. We also show how it is easy to conceive original approaches and new statistical estimators when required. The specific models introduced are chosen based on students' research topics. In past years they have included models for event counts, ecological inference, time-series cross-sectional analysis, compositional data, causal inference, and case-control designs. The recorded lectures are from the Harvard Faculty of Arts and Sciences course Government 1002.
Prerequisite: GOVT E-2000, or the equivalent. (4 credits)