Survey experiments combine the power of causal inference from an experimental design with the external validity of representative surveys. Further, online survey experiments provide a highly flexible platform for conducting the experiment. This course will cover the theory, design and analysis of survey experiments. In terms of theory, the course covers topics such as the potential outcomes model of causal inference, and the logic of experiments. In terms of design, the course covers topics such as: types of randomization; blocking; priming and framing experiments; list and conjoint experiments; and incentivized experiments.