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: 10.01.2022 - 21.02.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Matti Sarvimäki, Tuukka Saarimaa, Jerry Montonen

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:

    Measuring economic phenomena. Summarizing economic data using descriptive statistics: mean, median, covariance, histogram. The use of actual economic data: register data, public databases, big data. Understanding statistical dependence and causality.

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

Study Material
  • valid for whole curriculum period:

    Lecture notes and other suitable material.

    Angrist and Pischke (2015): Mastering 'Metrics. The Path from Cause to Effects (relevant chapters)

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    8 Decent Work and Economic Growth

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    The number of students admitted to the course is restricted to 65. 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.


    Teaching Period:

    2020-2021 Spring III

    2021-2022 Spring III


    Course Homepage: https://mycourses.aalto.fi/course/search.php?search=ECON-A3000


    Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.