Econometrics is a powerful tool that combines statistical methods with economic theory to analyse data, make forecasts, and test economic theories.

On this course, you’ll gain a comprehensive overview of traditional panel models equipping you with the skills to apply them in your professional or academic work.

Master panel model specification, statistical tests, and STATA implementation

Start your journey by learning the fundamentals of panel data analysis, including model specification, estimation techniques, and common statistical tests.

Gain insights into key econometric issues such as endogeneity and how to address them using instrumental variable techniques like two-stage least squares and Hausman-Taylor estimators.

With a strong focus on practical application, you’ll work with real economic data sets, apply panel models in STATA, and interpret results to make informed economic decisions.

Tackle econometric challenges and real-world applications

As you progress, you’ll explore econometric challenges, including heteroskedasticity, autocorrelation, and multicollinearity, understanding their impact on economic models and how to mitigate them.

Apply panel data models for economic forecasting and policy analysis

By the end of this course, you’ll be proficient in applying panel data models, conducting data analysis, and using econometrics to drive decision-making in macroeconomics, finance, and public policy.

Ideal for economists, researchers, and professionals in finance, business, and public policy, you’ll enhance your econometrics skills, advancing their expertise in applied economics and forecasting.