Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

Michaela Kesina: Catalogue data in Autumn Semester 2017

Name Dr. Michaela Kesina
Professur für Applied Economics
ETH Zürich, LEE G 130
Leonhardstrasse 21
8092 Zürich
DepartmentManagement, Technology, and Economics

363-0585-00LIntermediate Econometrics3 credits2VM. Kesina
AbstractThe idea of this course is to familiarize students with instrumental variables estimation of linear regression models and the estimation of models with limited dependent variables as well as of nonlinear regression models. While most of the material covered will pertain to cross-sectional data, we will also work on selected issues with panel data.
ObjectiveI will provide STATA programs and show the execution thereof. After having participated in this course, students will be able to carry out simple research projects and understand the basics of intermediate econometrics. In particular, they will be able to write simple programs in STATA and to qualify their own and others' regression output relating to problems covered.
LiteratureJeffrey M. Wooldridge: Introductory Econometrics; Jeffrey M. Wooldridge: Econometric Analysis of Cross Section and Panel Data; A. Colin Cameron and Pravin K. Trivedi. Microeconometrics: Methods and Applications.