About the Course
The course builds essential skills necessary for economic, business or financial analysis. The purpose of the course is to give students solid and extended skills in both econometric tools and their application to contemporary economic problems. We will learn both theoretical foundations and practical aspects of the main econometric topics: ordinary least squares as a core approach of linear regression analysis, the choice of the model specification, dealing with main problems of econometric analysis such as multicollinearity, heteroscedasticity, autocorrelation, and endogeneity.
After the course, you will be able to perform your own economic data analysis based on the understanding of described econometrics tools. You will learn how to apply the indicated tools and methods to various topics of your research and how to prevent and overcome problems, which can arise in real data analysis
Course Objectives
01
Students will get solid and extended skills in both econometric tools and their application to contemporary economic problems
02
The course gives both theoretical foundations and practical aspects of the main econometric topics
03
Will learn how to apply the indicated tools and methods to various topics of research and how to prevent and overcome problems, which can arise in real data analysis
Learning Outcomes
1. To perform economic data analysis based on the understanding of described econometrics tools
2. To test whether spending on research and development increases sales in the company
3. To find out, what wage you can expect, with your education and personal characteristics
4. To estimate the simple linear model and multiple regression model
Course Syllabus
Week 1. Ordinary Least Squares
Week 2. Model Specification
Week 3. Multicollinearity, Heteroskedasticity and Autocorrelation
Week 4. Endogeneity and Instrumental Variables
Week 5. Project Assignment
Teacher
Семерикова Елена Вячеславовна
Департамент прикладной экономики: Старший преподаватель
Learning Activities
Lectures
Online
Low-Stakes Assignments
Tests
High-Stakes Assignments
Final project