The mission of the Graduate Institute of Accounting is to explore and advance theories and models in financial research to cultivate competitive professionals with ethical integrity, innovative capabilities and international perspective to meet business and social needs in the global economy.
Learning Goals (goals covered by this course are indicated):
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1 Graduates should be able to communicate effectively verbally and in writing.
2 Graduates should solve strategic problems with a creative and innovative approach.
3 Graduates should demonstrate leadership skills demanded of a person in authority.
4 Graduates should possess a global economic and management perspective.
5 Graduates should possess the necessary skills and values demanded of a true professional.
Instructor:
Professor Chen, Chun-nan
E-mail: chunnan@mail.ncku.edu.tw
Phone: +886-6-2757575 ext. 53440
Office Hours: Friday, 14:00-17:00 or by appointment
Prerequisites: none
Course Description:
This course will provide students with a "non-intimidating” introduction to econometric theory and techniques. It will particularly adopt a largely non-mathematical approach relying on verbal and graphical intuition and contain proper use of data examples. It will include real examples and case studies which finance and accounting students will recognize and relate to. Additionally, it will demonstrate how to use the most common statistical software such as SAS in performing accounting and financial research. It also gives advice on planning and executing a project in empirical finance and accounting, preparing students for using econometrics in practice.

Course Objectives:
By the end of this course, students should be able to:
1. Learn the techniques of linear regression analysis used in finance and accounting research.
2. Gain experience with statistical software such as SAS.
3. Learn how to evaluate the empirical work in journal articles.
Tentative Class Schedule & Content Summary
Week Date
1
2
3
Topic
9/18 An introduction of Econometrics
9/25
10/2
Chapter 1
Chapter 2
The Nature and Scope of Econometrics
Review of Statistics I: Probability and Probability
Distributions
Chapter 3 Characteristics of Probability Distributions
4
5
6
10/9 Chapter 4 Some Important Probability Distributions
Chapter 5 Statistical Inference: Estimation and Hypothesis Testing
10/16 Chapter 6 Basic Ideas of Linear Regression: The Two-Variable
Model
Chapter 7 The Two-Variable Model: Hypothesis Testing
10/23 Chapter 8 Multiple Regression: Estimation and Hypothesis
Testing
7 10/30 Chapter 9 Functional Forms of Regression Models& (Case Study:
Capital Asset Pricing Model)
11/6 Chapter 10 Dummy Variable Regression Models 8
9 11/13 Chapter 11 Model Selection: Criteria and Tests& (Case Study:
Risk Managers’ Cost Effectiveness)
10 11/20 Reviews & Midterm Examination
11 11/27 Chapter 12 Multicollinearity: What Happens if Explanatory
Variable Are Correlated
12 12/4 Chapter 13 Heteroscedasticity: What Happens If The Error
Variance Is Nonconstant &
(Case Study: NFL Players’
Compensation)
13 12/11 Chapter 14 Autocorrelation: What Happens If Error Terms Are
Correlated
14 12/18 Chapter 16 Selected Topics in Single Equation Regression
Models& (Case Study: CEO Compensation)
15 12/25 Project Presentations

16
17
1/1 Holiday (no class)
1/8 Project Presentations
18 1/15 Final Examination & Final Project Due
Required Textbook:
1.
Gujarati, Essentials of Econometrics, McGraw-Hill , 2006
(東華書局代理: 請自行購
買)
Recommended references:
2.
Gujarati & Porter, Basic Econometrics, McGraw-Hill , 2009
3.
Koop, Introductory Econometrics , John Wiley & Sons, 2008.
4.
Studenmund, Using Econometrics: a practical guide , Person Education, Inc., 2006
5.
Hill, William, Griffiths and Lim, Principles of Econometrics , John Wiley & Sons,
2007.
6.
彭昭英 唐麗英, SAS 1-2-3 (第六版), 2008 年
7.
翁淑緣 , SAS 與資料處理 ( 第 四版) , 2007 年
8.
鍾惠民吳壽山周賓凰范懷文, 財金計量 第一版 修訂版 2006年
Course Requirement:
Except attending the class and meeting the Academic Integrity Policy Requirement, students should provide at least each one of the following assignments:
Case Studies & Presentations
Homework
Midterm and/or Final Examination
Term project
Grading policy:

Attendance, Participation& Presentations (Cases studies and Project) 20%
Homework 20%
Examination (Midterm and/or Final Examination) 40%
Term Project (duplicate a research paper) 20%
COMMU
CPSI
LEAD
GLOB
VSP
 Oral Commu./ Presentation
 Written Communication
Participation &
Presentation
20%
Weekly
Assignment
20%
50%
15%
 Creativity and Innovation
 Problem Solving
 Analytical Skills
20%
15%
15%
 Leadership & Ethic
 Social responsibility
 Global Awareness
 Values, Skills & Profession.
 Information Technology
 Management Skills
15%
15%
15%
15%
25%
Examination
40%
10%
20%
20%
20%
30%
Term
Project
20%
20%
20%
20%
10%
10%
20%