ECONOMETRICS

The application of advanced statistical methods and modeling to an empirical understanding of economic issues. Combines elements of statistical reasoning with economic theory and provides an excellent opportunity to combine concepts learned in previous economics courses. Topics covered include multiple regression analysis, model specification, dummy variables, multicollinearity heteroscedasticity, autocorrelation, limited dependent variables, simultaneity, time series, forecasting, and methodological issues.Prerequisites: MATH 140, MATH 141, or MATH 151 with a 'C-' or better

Credits: 
3
Program Code: 
ECON
Course Number: 
316
Academic Program(s): 
Economics
Business Administration