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
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
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
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.