Lecture schedule
Target group: Students of economics (PhD, advanced Masters)
Language: English
Aim: The aim of this course is to introduce students to the field of industrial economics at the graduate level with a particular emphesis on empirical applications. The course provides lectures on the basic game theoretic models used in industrial economics as well as on the empirical implentation of these models and their applications. The lectures are supplemented with case studies to learn how to apply the theoretical and the econometric models to real world situations.
Course description: The course is an advanced course in empirical industrial economics. The course starts with the basic game theoretcial models explaining market behavior in monopolies and oligopolies. Concerning the empirical applications, we start with new empirical industrial organization (NEIO). We discuss the estimation of continuous and discrete demand models and how to derive price cost margins and market power applying static oligopoly models. Other topics are the estimation of production functions, entry models and auctions. Dynamic oligopoly models will complete the course. From an econometric point of view the necessary econometric techniques will be explained, measurement issues, identification problems and industry vs. firm effects will be studied.
Preliminaries: microeconomics, applied econometrics
Class attendence: a minimum of 75% is required
Grading: active class participation (10%), 3 problem sets (estimation of examples with provided data, discussion and presentation of papers; 60%), presentation, take home final (30%)
Registration: login via univis online
Problem sets:
Grades: here