This course aims to bridge the gap between theoretical econometrics and practical implementation, equipping students with the skills necessary to analyze economic data, test hypotheses, and inform decision-making processes. Through a combination of hands-on exercises and empirical projects, students will learn to apply econometric methods to a variety of economic issues, interpret the results critically, and communicate their findings effectively. Besides, this course strives to prepare students for advanced study and careers in economics, where data-driven decision-making is essential.

This course is designed to provide students with practical skills and knowledge to apply econometric methods to real-world economic data and problems. The focus will be on understanding and implementing econometric techniques to analyze economic relationships, test hypotheses, and make informed decisions based on empirical evidence. Key topics to be covered include: ordinary least squares (OLS) estimation, computation of fundamental econometric statistics, and conducting hypothesis tests.