STA 2217 - Econometrics

Credits: 4
An introduction to the application of multivariate regression analysis to examine economic, business, and social sciences problems. Particular attention will be paid to the assumptions of regression, effective model building, and the diagnosis and correction of common econometric problems such as multicollinearity, heteroskedasticity, serial correlation, and simultaneous equations. Additional topics such as panel data models, logit and probit analysis, forecasting, and stationarity will be covered.
Prerequisite(s) STA-2215 or MAT-3324
McDaniel Plan: Quantitative Reasoning