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