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

Students are acquainted with the principles of empirical methods in economics, regression analysis in particular. They know how to utilize those methods in analyzing data. They know how to use the econometrics software package stata.

Credits: 5

Schedule: 10.01.2023 - 23.02.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Otto Toivanen

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:

    Short recap of probability and statistics; basics of cross-section linear regression; hypothesis testing; evaluation of the reliability of regression results; instrumental variable regression.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Exam, exercises

Workload
  • valid for whole curriculum period:

    Lectures, exercises and preparation

DETAILS

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    8 Decent Work and Economic Growth

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Spring III
    2023-2024 Spring III