**ECON 6976
SYLLABUS
SPRING
2006**

**INSTRUCTOR**: Ebenge Usip, Ph. D.

**OFFICE**: 307 DeBartolo Hall; *Hrs*. TTh.
12-2, Wed. 11-12; *Phone*: 742-1682; *Email*: eeusip@cc.ysu.edu

**TEXT**: Introducing Econometrics --- by Wooldridge, 2E

**RECOMMENDED SUPPLEMENTS** -- Eviews 4.2 (student ed.).

-- Articles/Handouts
(as deemed necessary).

-- WBI materials from my homepage: people.ysu.edu/~eeusip/

**GRADING WEIGHT**

**APPROXIMATE SCALE**: Will be discussed in
class.

**
Note:** Last Day to ** withdraw** with a "

__OUTLINE__

** I. Introduction:
**The Nature of Econometrics and Economic Data -- chapter 1

● The Simple Regression Model -- chapter 2

● Multiple Regression Analysis: Estimation -- chapter 3

● Multiple Regression Analysis: Inference -- chapter 4

● Multiple Regression Analysis: OLS Asymptotic -- chapter 5

● Multiple Regression Analysis: Further Issues -- chapter 6

● Multiple Regression Analysis with Qualitative Information -- chapter 7

● Heteroskedasticity: chapter 8

●

● Further Issues in Using OLS with TS Data -- chapter 11

● Serial Correlation and Heteroskedasticity in TS Regression -- chapter 12

● Advanced Time Series Topics (Unit Roots, and Cointegration & Error Correction Models) -- ch. 18

● Carrying out an Empirical Project -- chapter 19

● Class attendance is highly recommended. No make-up exams will be administered. Late homework will not be graded.

● It is the student's responsibility to be familiar with the assigned materials covered during lectures.

Econometrics can be studied at the

Econometrics is a highly specialized field of economics that deals specifically with the

** Regression
analysis** is indeed the '**heart**' of econometrics. Therefore, those
students who are already familiar with the regression technique (Econ 3780 &
3781 or equivalent) will find the material in the first two chapters reasonably
familiar. Your background in mathematical economics may vary from minimal (non
economic majors) to intermediate (Econ 6904) level. It thus recommended that you read appendix A concurrently.
Selected topics from Appendix B and C will be covered during lectures as needed.

I have also integrated Web-based instruction (WBI) via the Internet into this
course (and other quantitative courses offered by the department). The WBI
materials are in the form of tutorials, research guidelines, and active links to
sources of economic data. Assignments and their solutions, and
even this syllabus are available at my home page: **The Center for
Web-Based Instruction in Quantitative Economics. **You can access the homepage
via the following Internet address:

Implementing econometric procedures involve messy calculations. In today's computerized environment, the optimal strategy in teaching econometrics places less emphasis on hand/manual computation and more on concepts, model building, and derivation of the estimators and their desirable properties. For this reason,

This course may be scarier than it really is because of its quantitative nature. You will enjoy it however if you are willing to put in a minimum amount of effort. Most of the material is pretty straightforward and the text has done a fine job by adopting an approach that is both systematic and unified: Part 1 treats the analysis of cross-sectional data; part 2 focuses on the analysis of time-series data; and the discussion of advanced econometric topics is presented in part 3. Due to the cumulative nature of the material those who get too far behind will obviously find it difficult to catch up.

Have a
wonderful and successful semester.

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**or** ** Research Guidelines & Sources of Data
or Projects/What is New or Home Page.**