Spring 2013

ECN 3972, Section 1

Dr. Dao

Statistics Applied to Economics II  

Office: CH 2871

 

Office Phone: 581-6329

 

Office Hours: 100-200 M 3:30-4:30 W
1000-1100 TR or by appointment

EXAMS:                         Two Exams and a Comprehensive Final

EXAM SCHEDULE: 

First during the 5th week of classes (Feb. 4-8, 2013)

 

Second during the 11th week of classes (Mar. 25-29, 2013)

 

 

Final on Thursday, May 2, 2013, at 10:15 a.m.

                                        

COURSE GRADE BREAKDOWN: 

First Exam                 20%

 

Second Exam           25%

 

Final                           30%

 

Modeling Project      15%

 

Homework                 10%

                                                                      

CLASS ATTENDANCE: 

Students are expected to attend class. Three unexcused absences may affect final grade. Two late arrivals will count as one unexcused absence unless I am notified ahead of time.

 

TEXT:  

Paul Newbold, William Carlson, and Betty Thorne, Statistics for Business and Economics, Prentice Hall, 6th edition.

Chapter Reading Assignment & Topic

10

Hypothesis Testing

11

Hypothesis II

12.1

Correlation Analysis

12.2

Linear Regression Model

12.3

Least Squares Coefficient Estimators

12.4

The Explanantory Power of a Linear Regression Equation

12.5-6

Hypothesis Test, Confidence Intervals, and Prediction

FIRST EXAM

13.1-2

The Multiple Regression Model & Estimation of Coefficients. Special training session to acquaint
students with statistical software using SAS to be announced.

13.3-6

Explanatory Power of the Model. Tests on sets of regression parameters; Confidence Intervals and Tests for Individual Regression Coefficients; Prediction.

13.1-7

Assignment of Modeling Project. Proposal due Thursday, Mar. 21, 2013. Model building and Methodology; Dummy Variables; Lagged Dependent Variables; Specification Bias; Multicollinearity; Heteroscedasticity; Autocorrelation

SECOND EXAM
 

19.2

The Runs Test: A Test of Randomness for Samples

19.3

Introduction to Time Series; Components of Time Series

19.5

Exponential Smoothing Forecasting Methods

19.6

Autoregressive Models

15.1

The Sign Test: A Nonparametric paired-differences (Blocking) Test

 

Modeling Project due on Thursday, Apr. 18, 2013, at 2:00 p.m.

NOTE: If you have a documented disability and wish to receive academic accommodations, please contact the Coordinator of the Office of  Disability Services (581-6583) as soon as possible.
           

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