Econometric Analysis of Housing Markets

Econometric Analysis of Housing Markets

  • General info (Source: Osiris)
    •
    Quartile: 1
    Time Slot: B
    Course Type: Specialization Elective
    Code: 7ZU4M0
    Responsible Lecturer: dr. I.V. Ossokina
    ECTS: 5
    Exams: Yes
    Required courses:

    none
    Course description:

    The course builds upon the latest developments in urban economics and data analytics, with application to housing real estate.
    The first part of the course deals with the housing demand and discusses the following questions:
    How to figure out empirically how much people are willing to pay for different attributes of a dwelling and the location? How can housing managers use this information? Do population groups differ in their housing preferences? How to forecast future residential demand in a location?

    The second part of the course deals with housing supply, housing market dynamics and policies. Following questions are discussed:
    How do housing demand and supply interact in dynamics? Where is new construction the most profitable? What are the effects of the policies restricting new construction? How does gentrification work?

    In both parts of the course different empirical techniques are explained and discussed that allow to answer the questions mentioned before. These include: hedonic price models, multiple regression analysis, regression discontinuity, quasi-experiment, etc.
    The course makes use of active learning. In weekly tutorials, students present and discuss with each other high quality applied articles that use big data to solve real world problems connected to housing markets. Furthermore, students perform practical data assignments, to get a hands-on experience with applying the learned techniques to real housing market data.


  • Other courses recommended by students
    •
    Useful preliminary courses:
    • built environment and smart mobility
    • Managing place and property
    • Urban research methods
    Useful follow-up courses:
    • Housing portfolio management
    • Housing markets and strategies
    • Big data for urban analysis


  • Survey outcomes (0: low, 5: high)
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  • Additional information
    •
    Applied skills / methods:
    • Analyzing articles
    • Academic research methods
    • Different analysis methods for articles
    Project course: No


  • Metadata
    •
    Data source: Own survey
    Applied method: Questionnaire
    Response rate: 15.8%
    Sample size: 5
    Academic year: 2021


  • The following data has been collected by SERVICE among students that followed Econometric Analysis of Housing Markets in 2021/2022. Based on this feedback or other causes, it is possible that the course will have a different set up in the future. Keep this in mind when you use these data for selecting your courses.

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