Week |
Topic |
Content |
Activities |
Workload (hours) |
1
(2/25) |
Orientation |
Overview of the course |
Lecture and Q&A |
6 |
2
(3/4) |
Basics of statistics |
Descriptive statistics, confidence interval, and hypothesis testing
(Wooldridge Appendix C5-6) |
Lecture and discussion |
6 |
3
(3/11) |
OLS I |
Simple ordinary least square (OLS) regression
(Wooldridge Chapter 2) |
Lecture, discussion, and practicum (using Stata) |
6 |
4
(3/18) |
OLS II |
Multiple regression analysis
(Wooldridge Chapters 3-5) |
Lecture, discussion, and practicum (using Stata) |
6 |
5
(3/25) |
OLS III |
Further issues on Multiple regression analysis
(Wooldridge Chapters 6-8) |
Lecture, discussion, and practicum (using Stata) |
6 |
6
(4/1) |
Progress review and consultation |
Project #1 and topics covered from week 2 to week 5 |
Individual consultation
(with Dr. Fu) |
6 |
7
(4/8) |
Panel data |
Panel data methods
(Wooldridge Chapters 13, 14) |
Lecture, discussion, and practicum (using Stata) |
6 |
8
(4/15) |
Instrument variable |
IV regression and 2-stage least squares
(Wooldridge Chapters 15) |
Lecture, discussion, and practicum (using Stata) |
6 |
9
(4/22) |
Limited dependent variable |
Limited DV and sample selection corrections
(Wooldridge Chapter 17) |
Lecture, discussion, and practicum (using Stata) |
6 |
10
(4/29) |
Event history |
Survival analysis
(Supplementary materials) |
Lecture, discussion, and practicum (using Stata) |
6 |
11
(5/6) |
Progress review and consultation |
Project #2 and topics covered from week 7 to week 10 |
Individual consultation
(with Dr. Hsieh) |
6 |
12
(5/13) |
Understanding variables and data |
Construct, observed item, and measurement scale |
Lecture, discussion, and practicum (using SPSS) |
6 |
13
(5/20) |
Developing a conceptual (box-and-arrow) model |
Correlation, causal relationship, and survey design (1) |
Lecture, discussion, and practicum (using SPSS) |
6 |
14
(5/27) |
Validating research model |
Survey design (2), mediation, and moderation |
Lecture, discussion, and practicum (using SPSS) |
6 |
15
(6/3) |
Advanced topics |
Market segmentation, concepts of machine learning and neuro-marketing |
Lecture, discussion, and practicum (using SPSS) |
6 |
16
(6/10) |
Progress review and test |
Quiz and topics covered from week 12 to week 15 |
Dataset-based quiz
(administrated by Dr. Park) |
6 |
17
(6/17) |
Presentations |
Presentations based on either project #1, project #2, or quiz |
Individual presentation |
6 |
18
(6/24) |
Submissions and consultation |
Assignments and all topics covered in the course |
Individual consultation |
6 |