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

After this course, the student will have a basic understanding of the use of statistical methods in the analysis of economic phenomena.

Credits: 6

Schedule: 08.01.2024 - 23.02.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Miri Stryjan, Prottoy Akbar

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:

    This course provides an introduction to data analysis in applied microeconomics. We have designed it to complement the First Course in Probability and Statistics (MS-A0503) or equivalent introductory course in statistics. Our aim is to give a non-technical and intuitive overview of the modern microeconometric approaches with a particular focus on critically evaluating alternative data sources and research designs.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Final examination, exercises and class contribution.

Workload
  • valid for whole curriculum period:

    In total 160h, consisting of lectures and exercise sessions and independent work.

DETAILS

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    1 No Poverty

    5 Gender Equality

    8 Decent Work and Economic Growth

    10 Reduced Inequality

    11 Sustainable Cities and Communities

    17 Partnerships for the Goals

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

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

    Enrollment :

    A maximum of 65 students can be accepted to the course. Priority is given to:
    1.) Students in BSc programme in Economics
    2.) Students in BSc programme in Science and Technology and Students in BSc programme in Design
    3.) Other Aalto students.