Type of Credit: Elective
Credit(s)
Number of Students
This course primarily focuses on accounting research methodology for undergraduates and graduate students pursuing academic careers or planning to write a thesis. This course provides basic and essential knowledge for econometrics and SAS. This course uses data from U.S. companies such as Compustat, CRSP, and IBES.
能力項目說明
After studying this course, students are expected to be able to:
(1) Understand the econometric issues in empirical research,
(2) Interpret empirical results in research papers, and
(3) Replicate empirical papers using SAS.
| 教學週次Course Week | 彈性補充教學週次Flexible Supplemental Instruction Week | 彈性補充教學類別Flexible Supplemental Instruction Type |
|---|---|---|
* This schedule is temporary and subject to change.
|
Week |
Topic |
Content and Reading Assignment |
Teaching Activities and Homework |
|
1 |
Econometrics
|
Course Overview Introduction to Academic Accounting Research |
SAS Installation |
|
2 |
The Properties of Good Estimators Ordinary Least Squares (OLS) Hypothesis Testing and Model Specification |
|
|
|
3 |
Violating OLS Assumption: Clustering |
|
|
|
4 |
Concept of Endogeneity |
|
|
|
5 |
Endogeneity: Instrumental Variable Approach |
|
|
|
6 |
Indicator Variables |
(Heckman) |
|
|
7 |
Endogeneity: Difference-in-Differences |
(PSM) |
|
|
8 |
Qualitative Dependent Variables |
|
|
|
9 |
SAS
|
Introduction to Database Introduction to SAS (1) |
|
|
10 |
Introduction to SAS (1) |
|
|
|
11 |
Introduction to SAS (1) |
|
|
|
12 |
Introduction to SAS (2): Stock Returns |
|
|
|
13 |
Introduction to SAS (3): Accrual Quality |
|
|
|
14 |
Replication Overview Introduction to SAS (4): Paper Replication |
|
|
|
15 |
Presentation (by students) Introduction to SAS (4): Paper Replication |
|
|
|
16 |
Presentation (by students) Introduction to SAS (4): Paper Replication |
|
|
|
17 |
Project |
SAS replication |
|
|
18 |
SAS replication |
|
|
Quiz |
50% |
|
SAS Replication (Final) |
40% |
|
Presentation, class participation, homework, and others |
10% |
Important Notes:
|
1. Participation |
Those who miss a class more than four times will be given “Fail.” |
|
2. Small Quiz |
This class does not have a written mid-term exam. Instead, at the beginning of each class, a small quiz will be provided for about 20 minutes. Questions will be given based on the materials taught in the previous week. |
|
3. SAS Replication |
1. Students (or groups) choose a paper that they will replicate 2. Make a presentation for the paper summary (20 minutes), including the paper’s research questions, hypothesis, data, research model, and empirical results. 3. Submission: e-mail (khyu@g.nccu.edu.tw) - Documents required (important): (1) Variable definition, Replicated tables and figures with interpretation (Word format) (2) SAS code (SAS file) - Make a note so that I can clearly understand the codes 4. Deadline: to be announced
|
■ Course materials will be distributed before each topic begins.
■ Any books, materials, and YouTube videos in your language can help you learn SAS.
■ Reference (research papers)
Gow, I. D., D. F. Larcker, and P. C. Reiss. 2016. Causal Inference in Accounting Research. Journal of Accounting Research 54 (2): 477–523.
Larcker, D. F., and T. O. Rusticus. 2010. On the use of instrumental variables in accounting research. Journal of Accounting and Economics 49 (3): 186–205.
Lennox, C. S., J. R. Francis, and Z. Wang. 2012. Selection Models in Accounting Research. The Accounting Review 87 (2): 589–616.
Shipman, J. E., Q. T. Swanquist, and R. L. Whited. 2017. Propensity score matching in accounting research. Accounting Review 92 (1): 213–244.
Thompson, S. B. 2011. Simple formulas for standard errors that cluster by both firm and time. Journal of Financial Economics 99 (1): 1–10.