Applied Econometrics Basics

Do you want to uncover hidden patterns in economic data or understand the true impact of policies and decisions? Econometrics provides the essential tools to rigorously analyze these complex relationships. This course will guide you through the core principles of econometrics, enabling you to construct, evaluate, and interpret statistical models that explain economic phenomena. You will develop the analytical skills needed to make evidence-based conclusions from real-world data. What you'll learn: Learn core concepts of statistical inference and hypothesis testing. Understand the principles of Ordinary Least Squares (OLS) regression. Apply various regression models to analyze economic data. Identify and address common issues in econometric modeling like heteroskedasticity and multicollinearity. Interpret regression output and communicate findings effectively. Explore basic concepts of causal inference and endogeneity. Practice evaluating model assumptions and validity. The course begins with foundational statistical concepts, then progresses to simple and multiple linear regression, covering model assumptions, estimation, and interpretation. Subsequent sections delve into advanced topics and practical challenges in econometric analysis. This course is designed for absolute beginners with no prior knowledge of econometrics or advanced statistics. No specific prerequisites are required to start learning. Start your journey into the world of data-driven economic analysis today.