Resource Economics 733 - Industrial Organization II

This course is a part of the IO sequence in the graduate level introduction to empirical industrial organization. The emphasis is heavily on recent, cutting-edge research done in the field of structural estimation of IO models. The aim is to provide the tools necessary to write a solid dissertation in empirical industrial organization. The techniques in this class will also be useful to students from other fields like labor, health and environmental economics. The course covers topics on demand estimation which includes continuous and discrete choice models (including random coefficient logit model aka BLP estimation), static entry models in complete and incomplete information framework, estimation of dynamic games and production function estimation among others. The primary emphasis of the course is on developing econometric and computational tools that the student can use for own research work.

Open to Graduate students only. Pre Req: RES-ECON 732