Poslední úprava: PhDr. Mgr. Jiří Kukačka, Ph.D. (13.09.2023)
The primary objective of this course is to enhance students' understanding of econometrics by establishing, revising, and systematizing their knowledge in this field. Our main focus will be on the practical applications of econometric techniques. Throughout the semester, our primary emphasis will be on the linear regression model and its Ordinary Least Squares (OLS) estimation—a simple yet powerful method that is essential in the toolkit of every economist.
During the course, we will cover the fundamentals of econometrics, starting from the statistical foundations and progressing through the theory and intuition behind OLS estimation. We will also explore the properties of OLS, engage in hypothesis testing, delve into the assumptions of the linear regression model, discuss potential violations of these assumptions, and learn appropriate remedies. Furthermore, we will delve into advanced topics, including the issue of endogeneity and logistic regression. To foster a deep understanding of the limitations of regression analysis, we will repeatedly address the concept of causality.
Each topic will be illustrated with practical examples and reinforced through hands-on exercises during seminars.
Poslední úprava: PhDr. Mgr. Jiří Kukačka, Ph.D. (13.09.2023)
The primary objective of this course is to enhance students' understanding of econometrics by establishing, revising, and systematizing their knowledge in this field. Our main focus will be on the practical applications of econometric techniques. Throughout the semester, our primary emphasis will be on the linear regression model and its Ordinary Least Squares (OLS) estimation—a simple yet powerful method that is essential in the toolkit of every economist.
During the course, we will cover the fundamentals of econometrics, starting from the statistical foundations and progressing through the theory and intuition behind OLS estimation. We will also explore the properties of OLS, engage in hypothesis testing, delve into the assumptions of the linear regression model, discuss potential violations of these assumptions, and learn appropriate remedies. Furthermore, we will delve into advanced topics, including the issue of endogeneity and logistic regression. To foster a deep understanding of the limitations of regression analysis, we will repeatedly address the concept of causality.
Each topic will be illustrated with practical examples and reinforced through hands-on exercises during seminars.
