Students should have completed an undergraduate level course in econometrics and statistical theory. Linear algebra and multivariate calculus will be used frequently. The first part [Inference, ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

Description: An introduction to the modern techniques of econometrics and their applications. Topics include: the classical linear regression model (specification, estimation, inference, and ...

Disturbances in the classical linear regression model that do not have constant variances are said to be heteroscedastic. A vector of standardized residuals is defined whose distribution depends only ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. Catherine Falls Commercial/Getty Images Linear regression is a type ...

This course is available on the MRes/PhD in Economics and MRes/PhD in Management (Marketing). This course is not available as an outside option. Students should have completed an undergraduate level ...

Description: Emphasis is on using advanced econometric techniques. The course covers use of computer software and interpretation and reporting of econometric results. The first part of the course ...