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, multi-collinearity 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; ECON 201; ECON 202; and ECON 216 or MATH 213 with a 'C' or better.
Data Analytics Minor