ECON 491 - Econometric Data Analysis

Course Description

Econometrics for EM students offers a concise treatment of applied regression methods. We will develop our class on the basis of selected chapters in Damodar Gujarati’s Basic Econometrics, 4th ed. The course is divided into two segments, each lasting 4 weeks. Segment 1 draws from chapters 1-9, providing an overview of single equation regression models, estimation techniques and hypothesis testing. Segment 2 expands into such topics as qualitative response regression models, dynamic regression models, and nonlinear regression modeling methods (chapters 13-16). If time permits we may also touch on the topics of time series and simultaneous equation modeling.

Course Prerequisites/Requisites/Materials

Given the empirical nature of subjects covered, students should have basic understanding of mathematical probability and statistical concepts, matrix algebra, and desire to apply statistical software. I encourage students to purchase the student version of EViews Quantitative Micro Software (QMS) Student Version 3.1. This software is available to students by directly placing a “bundled order” with your text:

• Gujarati, Damodar N. (2002). Basic Econometrics, 4th Edition, with EViews 3.1 Student Version Software. McGraw-Hill Higher Education Publishing (1002 pages ? Book ISBN: 0-072-56570-5, EViews Package ISBN: 0-072-47852-7, www.mhhe.com/economics/gujarati4 ).

Logistics/Lectures/Grading

The class will meet once per week. My lectures will be kept to essential concepts and our “them-of-the-week.” I will use our meetings to provide support in the application of these concepts, and work along with on the various estimation problems from the data sets accompanying the text.

Your grades are based on in-class participation, completion of problems, and quizzes at the end of each of the 4-week segment. Your in-class participation and problem solutions will be evaluated for quality/completeness. I require you keep problem answers in a loose leaf binder with an index of these problems and the supporting estimates, graphs and tables that pertain to solutions/results.