ECO 353 Topics in Econometrics
An introduction to applied economic statistics and techniques for reaching sensible conclusions on the basis of empirical economic evidence. The course covers theoretical issues more rigorously than Economics 253, but also gives students hands-on experience with sophisticated econometric software. Topics covered include: simple and multiple linear regressions, autocorrelation and heteroscedasticity, time series and forecasting, simultaneous equations, and qualitative response models. Numerous empirical exercises and a significant empirical paper are among requirements of the course. This course is irregularly scheduled.
Prerequisites: Economics 253, 291 or 292, or permission of the instructor. Mathematics 223 (Linear Algebra) recommended.