ECON 255 - Introduction to Econometrics

Semester Offered: First and Second Semester
Credits (Range): 4 Hours
Attribute: QP-F, 4 SS

This is an introduction to the application of statistical methods to the estimation of economic models and the testing of economic hypotheses using non-experimental data. The central statistical tool is multivariate regression analysis. Topics covered include: the Gauss-Markov theorem, testing hypotheses, and correcting for heteroskedasticity, autocorrelation and simultaneous equation bias. In the weekly computer lab sessions econometric estimation software (Eviews) is used to analyze real-world data. Enrollment Limit: 20.
Instructor: L. Fernandez (first semester), B. Craig (second semester)
Prerequisites & Notes
Prerequisites: MATH 113 or 114, MATH 133, both ECON 251 and ECON 253, or consent of instructor.