Enrolment options

msc_empirical_io_topics.pdfmsc_empirical_io_topics.pdf
Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

This course introduces students to key methods and models for analyzing data from important markets in the economy. Through the study of competition, consumer behavior, regulation, and business evolution, students will develop the skills needed to answer critical questions in these areas. By the end of the course, students will be well-prepared to interpret empirical data and communicate their findings effectively in professional contexts.

Credits: 6

Schedule: 22.10.2024 - 28.11.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Ozhegova

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    Amongst the topics covered in the course are demand estimation and predictions, entry and market structure, pricing and mergers.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Assignments and exam

Workload
  • valid for whole curriculum period:

    Lectures and exercise classes

DETAILS

Study Material
  • valid for whole curriculum period:

    Peter Davis & Eliana Garcés (2009): Quantitative Techniques for Competition and Antitrust Analysis, Princeton University Press

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period:
    2024-2025 II
    2025-2026 No teaching

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