Introduction to Econometrics: Principles and Modeling

Economic data often hides complex relationships; mastering econometrics is essential for uncovering and quantifying these connections accurately. This course provides a thorough, text-based introduction to the statistical methods used to analyze economic phenomena. By the end of this course, you will be able to formulate econometric models, estimate parameters using regression analysis, test hypotheses about economic theories, and critically evaluate the validity of empirical results. What you'll learn: * Understand the core principles of Ordinary Least Squares (OLS) and the critical Gauss-Markov assumptions for valid inference. * Practice hypothesis testing, construct confidence intervals, and interpret regression coefficients in multiple variable models. * Apply diagnostic tests to detect common model violations such as heteroskedasticity, autocorrelation, and multicollinearity. * Learn how to use robust standard errors to ensure reliable inference even when classic OLS assumptions are partially violated. * Analyze and interpret statistical output from econometric analysis to derive meaningful conclusions about economic relationships. We begin by reviewing necessary statistical concepts before diving into simple and multiple linear regression. We then cover advanced topics like specification errors and data challenges. The course emphasizes reading and understanding econometric notation and written explanations of concepts. This course is designed for absolute beginners in econometrics, requiring no prior knowledge beyond basic high school algebra. Start building your foundation for rigorous economic data analysis today.