Department of Economics
TEXT: William H. Greene, Econometric Analysis, 3rd Edition, Prentice Hall Publishing Company, 1997.
This course is an extension of the material presented in Economics 615. It is a bit more topically organized, rather than being organized along the lines of reviewing the consequences of relaxing assumptions. Click for a longer discussion on the purpose of the course.
There will be doses of both theory and practice. Given my personal preferences most of the practice will occur in homework exercises and your paper.
There will be an exam and a final. The final will be cumulative. There will also be five homework assignments and an original paper. The paper should use one of the empirical methodologies discussed during the semester. You may choose y our own topic for the paper. It should be in an area that you are considering for a dissertation.
The weights for the computation of your grade are as follows:
|January 22||Seemingly Unrelated Regression and the Chow Test||Chap 17|
|January 29||Least Squares Dummy Variables||Chap 16||Paper Topic|
|February 5||Random Effects Models,||Chap 16||REM or LSDV: Which is it?
|February 12||Simultaneous Equations: Identification||Chap 20|
|February 19||Sim Eq: Estimators||Chap 20|
|February 26||Sim Eq: Properties and Tests||Chap 20||A Small Macroeconomic Model
|March 5||Mid-term Exam|
|March 12||Spring Recess|
|March 19||Univariate Time Series||Chap 19||Outline, Bibliography and Data Sources for Paper|
|March 26||Univariate Time Series||Chap 19|
|April 2||Testing for Unit Roots||Chap 19||Working with AR, MA and ARMA Models
AR data, MA data, and ARMA data
|April 9||Multivariate Time Series|
|April 16||Multivariate Time Series||Chap 19|
|April 23||Cointegration||Chap 19||VARs and Causation
|April 30||Cointegration||Chap 19||Unit Roots and Cointegration
|May 7||Final Exam||Paper|
To go to a page with all of the homework assignments and data bases for Econ 615 and 616 just give a little click!
In this section you should identify and describe the problem that interests you. A very brief review of earlier contributions is appropriate. After reading your introduction the reader should know why s/he wants to read more.
There should be a bona fide review of the literature in this section. Also state your model. It may have been developed earlier by someone else, but you will have made some modifications.
Special methodological issues (Stationarity, logit, etc.)
Results (All of them, in a table!)
Discussion of pathological diseases
Restate the intent of the paper. State your results and why they are exciting.