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.
Prerequisite: Economics 291, 253, 251, or consent of instructor.
Mathematics 223 (Linear Algebra) recommended.
Credits: 1
