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COL Karen Gutermuth
Professor of Economics and Business

EC304 Syllabus ] [ EC304 Schedule ] EC304 Data Files ] Class Notes/Outlines ] Miscellaneous ]

Econometrics
Spring 2008
Tentative Daily Schedule

WORK IN PROGRESS

Date

Topic

Day

Miscellaneous

3 Sept

Introduction   

Wed.

 

5 Sept

Ch. 1 What Is Econometrics? Ch. 2: Random Variables, Expected Values

Fri.

 Tasks: Install Data Analysis Tool

8 Sept

Mean & Variance of a Linear Function of a RV 

Mon.

Tasks: Import data file into Excel

10 Sept

Ch. 2: Jointly Distributed Random Variables, Covariance and  Correlation

Wed.

  (Hand-out)

12 Sept

VAE

Fri.

 Problems for Chapter 2

15 Sept

 Ch. 2: Bayes' Theorem and Conditional Probability   Solutions to Bayes'

Mon.

Handout       Solutions

17 Sept

Ch. 2 Probability Distributions

Wed

Part I:  The Simple Linear Regression Model

 

19 Sept

Ch. 3: Model Specification   

Fri.

Demand for Phone Calls  

23 Sept

Ch. 3: Parameter Estimation

Tues.

Practice Models          

24 Sept

Ch. 3:    Interpreting LS Estimates               

Wed.

Solutions to Models 

26 Sept

Review for Exam 1                                          Exam #1

Fri.

Solutions to Review

29 Sept

Ch. 4: Properties of the LS Estimators

Mon.

1 Oct

Ch. 4: Variance of the Model, Standard Errors

Wed.

 

3 Oct

Ch. 5: Interval Estimation - t-distribution  Starting Salaries

Fri.

 

6 Oct

Ch. 5:   Hypothesis Testing

Mon.

 

8 Oct

Ch. 5:   More Hypothesis Testing  

Wed.

A Note 

10 Oct

Ch. 5:  p-Values

Fri.

 

13 Oct

Rule of Thumb for Tests and CI's

Mon.

 

15 Oct

 Type I and Type II ErrorsCh. 6: ANOVA

Wed.

 

17 Oct

Ch. 6: R2   Filling-in the Blanks Worksheet       

Fri.

 Labor Productivity

20 Oct

 Ch. 6: Alternative Functional Forms       Reciprocal Food Exp. Model   

Mon.

 

22 Oct

Ch. 6.: Quadratric Models and Diminishing Marginal Returns

Wed.

  Learning Curve  Travel

24 Oct

Review for Exam 2    Exam #2 

Fri.

See Misc. Page for More Review

27 Oct

Ch. 6: Jarque-Bera Test for Normality

Mon.

Part II:  The Multiple Regression Model

29 Oct

Ch. 7: Estimation & Interpretation, Properties of LS Estimators

Wed.

 

31 Oct

Ch. 7: The Multivariate Model, continued

Fri.

 

3 Nov

Ch. 7: Factors that Affect the Precision of the LS Estimators

Mon.

  Worksheet

5 Nov

Ch. 7Confidence Intervals  Hypothesis Testing,  R2 & Adjusted R2  

Wed.

 

7 Nov

Ch. 8: F-Tests:  Test of Overall Significance

Fri.

Worksheet
Suicides

10 Nov

General F- tests  Cars      chickencons.xls

Mon.

 

12 Nov

Model Specification and the RESET Test     Worksheet

Wed.

 

14 Nov

Ch. 8: Dim. Marginal Returns                      Worksheet

Fri.

 

17 Nov

Exam #3

Mon.

 

Part III:   Violations of Basic Assumptions

19 Nov

Ch. 8: Multicollinearity     What happens when you have perfect multicollinearity         Production Function

Wed.

 

21 Nov

Ch. 9: Dummy (Binary)Variables; Intercept Shift  

Fri.

  Worksheet  

24 Nov

Ch. 9: Slope Shift

Mon.

  Worksheet 

25-30 Nov

Thanksgiving Furlough    

1 Dec

Ch. 9: Chow Test for Equivalent Regressions   More Models   

Mon.

3 Dec

     Exam #4

Wed.

 

5 Dec

Ch. 11 Intro to Heteroskedasticity

Fri.

 

8 Dec

Ch. 11: Goldfeld-Quandt Test 

Mon.

Location, Location, Location

10 Dec

Ch. 11: Proportional Hetero and GLS

Wed.

 

12 Dec

Ch. 11: A Model with Partitioned Hetero and GLS
Course EvalsLast Day of Classes

Fri.

 

 

 

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Last updated on 12 December 2008