This course covers design and design-based inference for both surveys and randomized
experiments. In covering the two domains, the course emphasizes the important and
underappreciated relationship between design and analysis. The lectures go back and
forth between discussing tools for surveys and experiments to highlight connections.
Problem sets will emphasize both application and theory. A final project will require
students to apply methods learned in this class to design a study or evaluate an analytic
method.
Required skills. Students should have completed PS231A with an A. Students with less
technical background will find the course pushes their capabilities. The course will be
limited to PhD students. PhD students from other departments may take the course as
long as they meet the requirements.