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Empirical industrial Organization

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WS 2019/20 - SoSe 2022

English

Empirical industrial Organization
Empirical Industrial Organization

6

Duso, Tomaso

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät VII

Institut für Volkswirtschaftslehre und Wirtschaftsrecht

37312300 FG Empirische Industrieökonomik

Volkswirtschaftslehre

Kontakt


H 57

Duso, Tomaso

t.duso@tu-berlin.de

https://www.eio.tu-berlin.de/

Learning Outcomes

A range of econometric tools has been developed to analyze the behavior of firms and consumers to understand the functioning of markets. This course aims to provide students the ability to formulate, estimate and interpret demand and supply schedules as well as the degree of market power by firms. These are then used to make causal inference on market related policies. A key ingredient of the course is the application of these methods to actual data in programming sessions.

Content

This course aims to introduce the student to current methods in Empirical Industrial Organization (EIO). In the first part of the course, we deal with the structural approach developed in the so called “New Empirical Industrial Organization” (NEIO) framework. After an introductory overview of the historical developments in the field of EIO, we start by looking at techniques for demand estimation in homogeneous and differentiated products markets. We then move to the simultaneous analysis of demand and supply relationships and compare various methods for estimating firms’ market power and strategic interactions based on static game-theoretic models of oligopolistic competition. Next, we focus on analyzing firms’ production decision and discuss structural models to estimate production function and productivity. In the final part of the course, we will look at applications of these techniques to evaluate public policies such as merger control and regulation. We conclude with a discussion of empirical techniques to detect collusion.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Empirical industrial OrganizationIVWiSeEnglish4

Workload and Credit Points

Empirical industrial Organization (IV):

Workload descriptionMultiplierHoursTotal
Attendance15.04.0h60.0h
Exam preparation15.04.0h60.0h
Preparation of presentation15.04.0h60.0h
180.0h(~6 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Block scheduling with lectures and tutorials. Additional programming tutorials with Stata.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Prerequisites for participation in the courses: Basic knowledge in microeconomics, econometrics and microeconometrics, basic knowledge in Indsutrial Economics from the courses "Industrieökonomik" and “Competition Policy” are very useful.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

NamePointsCategorieDuration/Extent
final exam20written45 min.
homeworks60written3 homeworks (abt. 5 pages each)
presentation20oral30 min.

Grading scale

This exam uses its own grading scale (see test description).

Test description (Module completion)

The portfolio examination consists of the following elements, adding up to a maximum of 100 credits. The grading follows the joint conversion key of the School of Economics and Management (decision of the school's council dated May 28, 2014 - FKR VII-4/8-28.05.2014).

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Wintersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

Please register for attendance by writing an email to t.duso@tu-berlin.de

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  available
Additional information:
Berry, Steve and Ariel Pakes, (2003): “Empirical Models of Firms and Markets,” Lecture notes.

 

Literature

Recommended literature
Ackerberg, Daniel, C. Lanier Benkard, Steve Berry, and Ariel Pakes, (2008): “Econometric Tools for Analyzing Market Outcomes, ” in J.J. Heckman and E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 63 Elsevier. (http://www.economics.harvard.edu/faculty/pakes/files/tools8l.pdf).
Angrist J. D. and J.-S.Pischke, (2010): “The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics,” Journal of Economic Perspective, 24, 3-30. (http://econ.lse.ac.uk/staff/spischke/AP%20JEP.pdf)
Davidson Russell and James G. MacKinnon, (2004): Econometric Theory and Methods, Oxford University Press, Oxford.
Einav Liran and Jonathan Levin, (2010): “Empirical Industrial Organization: A Progress Report,” Journal of Economic Perspective, 24, 145-162. (http://www.stanford.edu/~jdlevin/Papers/IO.pdf)
Motta, Massimo (2004): Competition Policy. Theory and Practice, Cambridge University Press.
Reiss, Peter C. and Frank Wolak, (2008): “Structural Econometric Modeling: Rationales and Examples from Industrial Organization,” in J.J. Heckman and E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 64 Elsevier. (http://www.stanford.edu/~preiss/makeit.pdf).

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
This module is not used in any degree program.

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

This module is not used in any degree program. Miscellaneous No information