Required Text:
Econometric Analysis, 3rd Ed., William H. Greene, Prentice-Hall, 1997.
Recommended Text:
Basic Econometrics, 3rd Ed., Damodar Gujarati, McGraw-Hill, 1995.
Gujarati's book is a nice undergraduate treatment of econometrics.
It is short on theory and has many numerical examples; as such
it makes good back ground reading for Greene.
Course Grade Determination:
Homework 25%
Midterm 25%
Final 25%
Paper 25%
To discourage late homework, it is accepted at only 50% of the lowest score earned by those who turned it in on time. You will note in the syllabus that there are some interim products which must be produced as part of your paper. If you do not submit the interim products then I will not accept the paper. A late paper will automatically receive a grade no higher than a 90%. The final is cumulative and mandatory. The date is included in the syllabus, make your travel plans accordingly.
Syllabus: The following table will provide
you with a schedule for homework, reading and exams. Econometrics
is not the sort of subject that can be left for a last minute
cram. It takes a continuous level of effort.
| Date | Topic | Reading | Assignment Due |
| Sept 2 | Descriptive Statistics and Probability | Greene, Chap 3 | |
| Sept 9 | Random Variables and Distributions | Greene, Chap 3 | Paper Title |
| Sept 16 | Sampling Distributions and Estimation | Greene, Chap 4 | Hwk1, Abstract - Statement of Problem |
| Sept 23 | Hypothesis Testing, Small Sample and Large Sample | Greene, Chap 4, Miller L15 | Hwk 2 |
| Sept 30 | Analysis of Variance | Buck | |
| October 7 | Simple Regression, MVNB: Simple Regression | Buck | |
| October 14 | Mid-term | Hwk 3 | |
| October 21 | Matrix Algebra | Greene, Chap 2 | Annotated Bibliography |
| October 28 | Multiple Regression: OLS, RLS and their Properties, An Application | Greene, Chap 6; Miller L1, L2, L3 | |
| November 4 | Multiple Regression: Gauss-Markov and GLS | Greene, Chap 6 | Hwk 4 |
| November 11 | Hypothesis Testing:t-tests, F-tests, large sample tests | Greene, Chap 7; Miller L9, L16, L17 | Detailed Outline |
| November 18 | Data Problems: Misspecification, Missing Data, Multicollinearity | Greene, Chap 9; Miller L8 | Hwk 5 |
| December 2 | Heteroscedasticity | Greene, Chap 12 | |
| December 9 | Autocorrelation | Greene, Chap 13 | Hwk 6 and Data |
| December 16 | Final Exam | Paper, Optional Hwk |
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