Introduction to Econometrics                                            Instructor: Noel Brodsky

Economics 4973, Fall 2016                                                Office: 2831 (215D) Coleman Hall

                                                                                                Phone: (910) 688-3788

                                                                                                http://www.eiu.edu/~econinfo

                                                                                                email: nbrodsky@eiu.edu

                                                                                                Hours: 2:00pm-3:00pm MW,

            4:15pm-5:15pm W

                                                                                                or by Appointment

 

GRADE DETERMINATION:

1 TERM PAPER (WORD PROCESSED-100  POINTS)              = 100 POINTS

1 FINAL EXAM (CUMULATIVE)                                = 100 POINTS

TOTAL                200 POINTS

 

Expected Grade Distribution and Curve Structure:

Curve Structure: Average exam score will be set at or near a baseline "B", excluding all zeros, whenever necessary.

 

The Cutoffs are as follows:

 

88% = A, 77% = B, 66% = C, 55% = D, below 55% is an F

 

Special Information: Term paper: The paper must utilize a word processor, done by the student turning the paper in for his or her grade. Failure to do this will result in a failing grade for the paper. The paper is absolutely required for the course, and regardless as to the point value of the paper, failure to turn it in will result in an automatically failing grade for the course.  The paper is of your own making, subject to my approval.  The paper must be on a topic related to Economics.  A poor topic choice is serious, and can result in a loss of 3 (three) letter grades on the paper. It is a longer paper, say about 15-25 pages. Do not ever copy from someone else.

 

Important Dates:

 

Paper: Proposal Due November 4, 2016 Paper Length: 15-25 pages, word processed, double-spaced, your work.  Final Draft Due Monday Decemeber 5, 2016, at 4:15pm. The paper may be turned in on Wednesday, Decemeber 7, 2016, with the loss of 2 letter grades, each day thereafter, one letter grade is lost.

 

If you have a documented disability, and wish to discuss academic accommodations, please contact me as soon as possible.

 

Special requirement: All students are required to have a computer account.  Email is a fundamental means of communication for this course, expect to use it.  You are also required to use a statistical package for this course.  I will use SHAZAM, and will provide you a means to install the package on the system of your choice.  You may choose to use a different package, but I will not support any other package.  Excel, while useful for some elements of the course, is not an acceptable statistical package.


Introduction to Econometrics Economics 4973

 N. Brodsky, Instructor

Syllabus

Text: Introductory Econometrics, 5th ed. Wooldridge, Jeffery M, Cengage Learning, Boston, MA, 2013

 

Chapter                        Topic

1. Review:

 Hypothesis Testing, Confidence Intervals, Expected Value, p-values,

Tests on means (Z&t), variances (c2), F-test.

2. The Simple Linear Regression (Cross-Sectional)

            OLS Estimation

                        Assumptions

                        Coefficient Tests

                        R2 and Standard Error

                        Heteroscedasticity

3,4. Multiple Regression

            OLS Estimation

                        Assumptions

                        Single Variable Tests

                        Joint Variable Tests

                        R2  Adjusted R2 and Standard Error

6. Nonlinear Regression Functions

            Polynomials

            Logarithmic

7. Multiple Regession with Qualitative Information

            Dummy Varaibles

8. Heteroscedasticity

9. Specification and Data issues

            Omitted Variable Bias

15. Instrumental Variables Regression

            Identification Issues

            2 Stage Least Squares

10. Regression Analysis with Time Series Data

            Autocorrelation

            Autoregressions

            Distributive Lags and ARIMA

            Trends

            Breaks

12. Serial Correlation and Heteroscedasticity in Time Series Regressions

Testing for Serial Correlation

Correcting for Serial Correlation

18. Advanced Time Series Topics

            Integration and Unit Roots

            Cointegration

            Conditional Heteroscedaticity

            Generalized Least Squares

 

FINAL EXAM (cumulative)