TimeDaysLocationInstructorGERCreditOPUS Class NumberSyllabus (Tentative)
10:40am-11:30am
MWF
White Hall 103
Todorov, Galin. MQR. 43295 TBA.

January 15, 2013- April 29, 2013

Catalog Description: Prerequisites: Economics 101, 112, and 220 or consent of the instructor. Introduction to the basic methods of economic forecasting; seasonality; regression analysis; Box-Jenkins methods; non-stationarity; applications. (May be taught as a post-freshman writing requirement

Semester Details:

THIS COURSE IS NOT OFFERED AS A GER WRITING REQUIREMENT COURSE THIS SEMESTER

This course provides an introduction to the mathematical and statistical methods used in the analysis and forecasting of economic data. The course consists of two main parts. In the first part, we will be studying basic statistics and econometrics techniques, such as linear regressions, parameter estimation, goodness of fit, and hypothesis testing, used in the analysis of causal relationships between variables of interest. In the second part, we will be studying basic components of time-series data, such as trend, seasonal, and cyclical components, as well as basic model specification techniques, such as moving average and auto regressions, used in the forecasting of time-series.  There will be two midterm exams and a final, six to eight home assignments, an empirical project (paper), and an oral presentation of your paper.

Required Textbooks, Articles, and Resources

  1. Gonzalez-Rivera, Gloria. 2012. Forecasting for Economics and Business .
    ISBN: 10: 0131474936 or 13: 978-0131474932.
    Prentice Hall; 1st edition

The schedule of courses on O.P.U.S. is the official listing of courses, including days and times they meet and the General Education Requirements they satisfy. Students should use course descriptions as general guidelines. Course requirements, grading details, book lists, and syllabi are subject to change.