Department of Applied Economics

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Regular version of the site

Events

Apr 25 – Apr 26

7th Conference "Applied Econometrics"

All events

Publications

Book

Academic Star Wars: Excellence Initiatives in Global Perspective
In press

Yudkevich Maria, Altbach P. G., Salmi J.

Cambridge: MIT Press, 2023.

Article

The Impact of Carbon Tax and Research Subsidies on Economic Growth in Japan

Besstremyannaya G., Dasher R., Golovan S.

HSE Economic Journal. 2025. Vol. 29. No. 1. P. 72-102.

Book chapter

Science or industry: Improving the quality of the Russian higher education system

Panova A., Slepyh V.

In bk.: Vocation, Technology & Education. Vol. 1. Iss. 4. Shenzhen Polytechnic University, 2024.

Working paper

Living Standards in the USSR during the Interwar Period

Voskoboynikov I.

Economics/EC. WP BRP. Высшая школа экономики, 2023. No. 264.

All publications

109028, Moscow
Pokrovsky blvd. 11,
Room S-527
Phone: (495) 772-95-99 ext.27502, 27503, 27498

Administration

Department Head – Svetlana B. Avdasheva

Deputy Department Head – Liudmila S. Zasimova

Manager – Maxim Shevelev

Faculty of Economic Sciences

Department of Applied Economics

Delivered by:: Department of Applied Economics

Type:: Elective course

When:: 1 year, 3 module

Instructor

Kazakova, Ekaterina

Full Syllabus Ask Question

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.

Learning Objectives

You are expected to acquire a broad knowledge of the key topics and techniques of empirical industrial organization.
You are expected to be able to conduct your own independent industrial analysis using real-life data.

Expected Learning Outcomes

Ability to estimate demand.
Ability to estimate production function.
Ability to model market entry.
Coming to the same level of knowledge of the needed econometric tools.
Deepen knowledge of the previously discussed topics.
Learning methods to detect collusion on the data.

Course Contents

Introduction to Empirical Industrial Organization
Competition, collusion and cartel
Estimation of demand for differentiated goods
Estimation of production functions
Estimation of static entry/exit games
Extensions and applications or additional selected topics in EIO

Assessment Elements

Homework 1
The content of homework assignments will be the application of learned estimation techniques in practice and the replication of related papers.
Term project
Term project evaluation consists of the short essay in a form of a research proposal.
Exam
The final written exam will mainly consist of open questions related to the practical application of EIO for industry analysis.
Homework 2
Homework 1
The content of homework assignments will be the application of learned estimation techniques in practice and the replication of related papers.
Term project
Term project evaluation consists of the short essay in a form of a research proposal.
Exam
The final written exam will mainly consist of open questions related to the practical application of EIO for industry analysis.
Homework 2

Interim Assessment

2021/2022 3rd module
0.3 * Exam + 0.2 * Term project + 0.25 * Homework 2 + 0.25 * Homework 1

Bibliography

Recommended Core Bibliography

Belleflamme, P., & Peitz, M. (2010). Industrial Organization : Markets and Strategies. Cambridge, UK: Cambridge eText. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=324082
Bresnahan, T. F., & Reiss, P. C. (1991). Entry and competition in concentrated markets. Journal of Political Economy, 99(5), 977. https://doi.org/10.1086/261786
Olley, G. S., & Pakes, A. (1996). The Dynamics of Productivity in the Telecommunications Equipment Industry. Econometrica, (6), 1263. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.ecm.emetrp.v64y1996i6p1263.97
Steven T. Berry. (1994). Estimating Discrete-Choice Models of Product Differentiation. RAND Journal of Economics, (2), 242. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.rje.randje.v25y1994isummerp242.262

Recommended Additional Bibliography

Berry, S., Levinsohn, J., & Pakes, A. (1995). Automobile Prices in Market Equilibrium. Econometrica, (4), 841. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.ecm.emetrp.v63y1995i4p841.90

Authors

KAZAKOVA EKATERINA ALEKSANDROVNA

Empirical Industrial Organization