LEARNING OUTCOMES
Students are acquainted with the principles of empirical methods in economics, regression analysis in particular. They know how to utilize those methods in analyzing data. They know how to use the econometrics software package stata.
Credits: 5
Schedule: 09.01.2024 - 22.02.2024
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Otto Toivanen
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:
Short recap of probability and statistics; basics of cross-section linear regression; hypothesis testing; evaluation of the reliability of regression results; instrumental variable regression.
Assessment Methods and Criteria
valid for whole curriculum period:
Exam, exercises
Workload
valid for whole curriculum period:
Lectures, exercises and preparation
DETAILS
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:
Teaching Language : English
Teaching Period : 2022-2023 Spring III
2023-2024 Spring III