Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 The content of the concept of regression and basic information reading the textbook Lecture
2 Introduction to the estimation of two-variable regression reading the textbook Lecture
3 The content of LS estimation method, its assumptions and practicing the method reading the textbook Lecture
Drilland Practice
4 Properties of LS estimators reading the textbook Lecture
Drilland Practice
5 Confidence Interval estimation for two-variable regression model reading the textbook Lecture
Drilland Practice
6 Hypothesis testing for two-variable regression model reading the textbook Lecture
Drilland Practice
7 Functional forms of regression models reading the textbook Lecture
Drilland Practice
8 Midterm Exam Studying the course content Testing
9 Introduction to multivariate regression analysis reading the textbook Lecture
Drilland Practice
10 The problem of estimation in multivariate regression model reading the textbook Lecture
Drilland Practice
11 Confidence interval and hypothesis tests in multivariate regression models reading the textbook Lecture
Drilland Practice
12 Restricted least squares: testing linear equality restirictions reading the textbook Lecture
Drilland Practice
13 Testing structural stability of regression models: The Chow test reading the textbook Lecture
Drilland Practice
14 Introduction to dummy variable regression models and ANOVA models reading the textbook Lecture
Drilland Practice
15 ANCOVA models, structural stability test by using dummies and seasonal dummy variables reading the textbook Lecture
Drilland Practice
16-17 Final Exam Studying the whole course content Testing

Recommended or Required Reading
Textbook
Additional Resources