Joachim Ryohei Groeger,
B.S. in Economics, Required, Additional Major in Economics
This course will provide an introduction to the analysis of economic field data. The first part of the course will discuss how data is generated and how this affects the inferences we can make. In particular, we will look at the difficulties of working with field data and learn how non-random sampling leads to poor inferences. We will then move on to some simple statistical techniques, in particular OLS and its extensions as well as Maximum Likelihood Estimators. We will also learn about the large sample properties of these estimators. At the end of the course, students should be able to understand what inferences can be made with field data and some basic statistical techniques that can be used to uncover patterns in the data. Minimum grade standard of "C" applies only to economics courses. Note: Offered for the first time in the Spring 2015 semester.
Lecture: 160 min/wk and Recitation: 50min/wk