ECON 474
Advanced Microeconometrics Spring 2025
Division II
Cross-listed
This is not the current course catalog

Estimation and inference problems in applied research sometimes demand more advanced statistical methods than the workhorse options that are covered in intermediate econometrics and which are widely available in statistical packages. Building on a basic understanding of econometrics and statistics, this methodology course will take students through several applied microeconometric techniques. Students will be expected to use statistical software throughout, as we simulate data and use real-world datasets to explore the inner workings of several modern methods. We will consider inference situations where groups of observations are statistically related to one another; compare small-sample and bootstrap methods to asymptotic approaches; explore well-known special cases of instrumental variables estimation; set up our own maximum likelihood estimators; and more. This course may be most useful to those considering graduate study in economics or careers in data science.