Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), 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: 11.01.2021 - 23.02.2021

Teacher in charge (valid 01.08.2020-31.07.2022): Tuukka Saarimaa, Matti Sarvimäki, Otto Toivanen

Teacher in charge (applies in this implementation): Pauli Murto, Tuukka Saarimaa, Matti Sarvimäki

Contact information for the course (applies in this implementation):

CEFR level (applies in this implementation):

Language of instruction and studies (valid 01.08.2020-31.07.2022):

Teaching language: English

Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • Valid 01.08.2020-31.07.2022:

    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 01.08.2020-31.07.2022:

    Final examination, exercises and class contribution.

Workload
  • Valid 01.08.2020-31.07.2022:

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

DETAILS

Study Material
  • Valid 01.08.2020-31.07.2022:

    Lecture notes and other suitable material.

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

Prerequisites
  • Valid 01.08.2020-31.07.2022:

    No prerequisites

SDG: Sustainable Development Goals

    8 Decent Work and Economic Growth

FURTHER INFORMATION

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