Empirical Industrial Organization

2024/2025

Academic Year

ENG

Instruction in English

3

ECTS credits

Delivered at:

Department of Applied Economics

Course type:

Elective course

When:

1 year, 3 module

Instructor

Kazakova, Ekaterina

Course Syllabus

Abstract

This course is designed to introduce students to the tools for the empirical analysis of industries and markets. Broadly speaking, empirical industrial organization (EIO) combines empirical methods, data, and models to analyze imperfect competition and the organization of markets. Modern methods of the EIO are widely applied in merger review, antitrust litigation, regulatory decision-making, marketing, and other related fields. Moreover, the increasing availability of firm- and consumer-level data ("big data") opens new empirical questions, that cannot be answered without understanding the basics of the EIO analysis. In this course, we will cover traditional empirical models related to (1) demand estimation for homogeneous and differentiated products; (2) production function estimation and firm productivity; (3) identification of conduct; (4) static entry/exit models. The course is associated to exercise sessions devoted to practical applications. We will replicate some empirical workhorse models using software like R and MATLAB.