Introduction to Econometrics

Economics 255

Usual Description

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 software is used to analyze real-world data.

Course Listings

These are all of the listings of this course recorded in the Oberlin course catalog since the fall of 2007.

Listing Semester Professor
Economics 255 Taught by Martin Saavedra
Economics 255 Taught by Barbara Craig
Economics 255 Taught by Michael Barber
Economics 255
Economics 255 Taught by Barbara Craig
Economics 255 Taught by Tobias Pfutze
Economics 255 Taught by Barbara Craig
Economics 255 Taught by Barbara Craig
Economics 255 Taught by Barbara Craig
Economics 255 Taught by Tobias Pfutze
Economics 255 Taught by Barbara Craig
Economics 255 Taught by Tobias Pfutze
Economics 255 Taught by Alberto Ortiz Bolanos
Economics 255 Taught by Barbara Craig
Economics 255 Taught by Tobias Pfutze
Economics 255 Taught by Barbara Craig
Economics 255 Taught by Luis Fernandez