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: 07.01.2025 - 21.02.2025
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
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
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: 2024-2025 Spring III
2025-2026 Spring IIIRegistration:
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.