Introduction to Econometrics Instructor: Noel Brodsky
Economics 4973, Fall 2017 Office: 2831 (215D) Coleman Hall
Phone: (910) 688-3788
Hours: 12:00pm-1:00pm MWF,
or by Appointment
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.
Paper: Proposal Due November 3, 2017 Paper Length: 15-25 pages, word processed, double-spaced, your work. Final Draft Due Monday Decemeber 4, 2017, at 4:15pm. The paper may be turned in on Wednesday, Decemeber 6, 2017, 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
Text: Introductory Econometrics, 5th ed. Wooldridge, Jeffery M, Cengage Learning, Boston, MA, 2013
Hypothesis Testing, Confidence Intervals, Expected Value, p-values,
Tests on means (Z&t), variances (c2), F-test.
2. The Simple Linear Regression (Cross-Sectional)
R2 and Standard Error
3,4. Multiple Regression
Single Variable Tests
Joint Variable Tests
R2 Adjusted R2 and Standard Error
6. Nonlinear Regression Functions
7. Multiple Regession with Qualitative Information
9. Specification and Data issues
Omitted Variable Bias
15. Instrumental Variables Regression
2 Stage Least Squares
10, 11. Regression Analysis with Time Series Data
Distributive Lags and ARIMA
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
Generalized Least Squares
FINAL EXAM (cumulative)