Syllabus

Title
6036 Empirical Industrial Organization
Instructors
Dr. Christine Zulehner
Contact details
zulehner@safe.uni-frankfurt.de
Type
PI SE
Weekly hours
2
Language of instruction
Englisch
Registration
02/16/16 to 02/25/16
Registration via LPIS
Notes to the course
Subject(s) Doctoral/PhD Programs
Research Seminar in Main Subject I - Empirical Business Research
Research Seminar in Main Subject II - Empirical Business Research
Research Seminar in Main Subject III - Empirical Business Research
Research Seminar in Main Subject IV - Empirical Business Research
Research Seminar - Participating in scientific discourse I
Research Seminar - Participating in scientific discourse II
Dates
Day Date Time Room
Monday 03/14/16 09:00 AM - 12:15 PM D4.1.001
Tuesday 03/15/16 09:00 AM - 12:15 PM D4.1.001
Wednesday 03/16/16 09:00 AM - 12:15 PM D4.1.001
Monday 04/04/16 09:00 AM - 12:15 PM D4.1.001
Tuesday 04/05/16 09:00 AM - 12:15 PM D4.1.001
Wednesday 04/06/16 09:00 AM - 12:15 PM D4.1.001
Tuesday 04/26/16 09:00 AM - 12:15 PM D4.1.001
Tuesday 05/17/16 08:30 AM - 12:00 PM D4.1.001
Tuesday 05/31/16 09:00 AM - 11:00 AM D4.1.001

On this page:

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Contents

This course covers empirical methods in industrial organization and competition economics at the PhD level. We start by discussing the estimation of continuous and discrete demand models, with derivations ofprice cost margins and market power, applying static oligopoly models. Other topics include estimating production and cost functions, entry models, bidders’valuations in auction models and dynamic oligopoly models. Topics are also discussed in the context of antitrust cases such as assessments of marketpower, merger analysis and calculation of damages. Students are asked to solve problem sets and to write a take home exam. The problem sets will include the analysis of actual data sets and replications of previous work. Students should make sure to have access to the relevant computer programs such as Stata or similar software. The take home exam will be based on the readings.

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Learning outcomes

The aim oft his course is to introduce students to empirical methods in industrial organization and competition economics, as well as to expand their knowledge of advances in this field at the PhD level. Particular emphasis is put on the empiricald etails in the applications and discussions of antitrust cases.

Students will be able to master state–of–the art modelling approaches and Research methodology in economics, and will have acquired the ability to go beyond the current state of knowledge and adduce novel findings for current Research questions in economics, and to provide scientifically-substantiated expertise concerning complex issues faced by society in the fields of economics.

Students will have acquired the ability to effectively communicate, in both written andoral forms, to audiences of experts and non-experts concerning topics in economics.

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Teaching/learning method(s)

Lectures and tutorials

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Assessment

Class participation (10%), problem sets (60%), take home exam (30%)

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Prerequisites for participation and waiting lists

PhD Students of Economics

Microeconomics, Microeconometrics

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Availability of lecturer(s)

zulehner@safe.uni-frankfurt.de

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Unit details
Unit Date Contents
1 03/14 Modelsof static competition and market power – continuous demand
2 03/14 Modelsof static competition and market power – continuous demand
3 03/15 Productdifferentiation – almost ideal demand systems and discrete choice models
4 03/15 Productdifferentiation – almost ideal demand systems and discrete choice models
5 03/16 Merger simulation – unilateral effects andcoordinated effects
6 03/16 Merger simulation – unilateral effects andcoordinated effects
7 04/04 Empirical studies of vertical integration
8 04/04 Empirical studies of vertical integration
9 04/05 Estimation of production functions
10 04/05 Estimation of production functions
11 04/06 Estimation of bidders’ valuations in auctions
12 04/06 Estimation of bidders’ valuations in auctions
13 TBA Empirical models of entry
14 TBA Dynamic models
Last edited: 2016-02-24



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