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

By the end of the course, students will be familiar with basic econometric methods; be able to implement these methods using the R language (http://www.r-project.org/); know how to interpret statistical results correctly and draw appropriate conclusions.

Credits: 6

Schedule: 05.09.2022 - 18.10.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Matthijs Lof

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:

    The course provides an introduction to the standard linear regression model, which is the core of econometrics. Topics include estimation by ordinary least squares (OLS), interpreting regression results, hypothesis testing, and misspecification issues. In addition to the standard regression model, we will look at event-study methodology, instrumental variables and panel data. This is an applied course, meaning that all topics will be illustrated by empirical examples related to investments and corporate finance using real data.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Assignments (50%) and exam (50%)

Workload
  • valid for whole curriculum period:

    Classroom hours, 24 h
    Class preparation, 48 h
    Preparing exercise sets, 50 h
    Exam preparation, 37 h
    Exam, 3 h

DETAILS

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    4 Quality Education

    5 Gender Equality

    8 Decent Work and Economic Growth

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn I
    2023-2024 Autumn I

    Enrollment :

    A maximum of 100 students will be admitted to the course. Students of Aalto Finance B.Sc. programme and exchange students with Finance specialization at their home university will be admitted to the course. Students re-taking the course (grade already registered) will not be prioritized and can participate only if there are places remaining.

    Other BIZ, Aalto, and exchange students students can register for the course

    Optional course in Minor. Possible to include this course as Finance MSc degree core course for students without bachelor's degree in finance from School of Business.