This econometrics course, based on Jeffrey M. Wooldridge’s widely used textbook, provides a strong foundation for understanding how economic data is analyzed using statistical methods. It is ideal for undergraduate economics students and beginners in Econometrics.

The course begins with an introduction to the nature of econometrics and economic data, explaining how economists use real-world data to test theories and make predictions. It then moves into the simple regression model, which is the foundation for analyzing relationships between variables.

Next, learners explore multiple regression analysis, focusing on how to estimate relationships when more than one independent variable is involved. This is essential for analyzing complex economic situations.

The course also covers statistical inference, helping learners understand how to interpret results, test hypotheses, and determine the reliability of estimates. Finally, it introduces OLS (Ordinary Least Squares) asymptotics, which explains how regression estimators behave in large samples.

By the end of this course, learners will have a solid understanding of regression analysis and be able to apply econometric methods to real economic data.