| No. | Content |
|
1
|
Guidance
|
|
2
|
Active Learning (1) Basic Statistics
|
|
3
|
OLS and Classical Regression Model
|
|
4
|
Multiple Regression Model and its Application
|
|
5
|
Basic Asymptoic Theory
|
|
6
|
Presentation on Master Thesis
|
|
7
|
Reconstruction of Regression Analysis
|
|
8
|
Standard Error and Robustness of Testing Null Hypothesis
|
|
9
|
Endogenous Variables and Instrumental Variable Method
|
|
10
|
IV Estimation: Its Application
|
|
11
|
Active Learning (2) Empirical Research
|
|
12
|
Most Likelihood Method
|
|
13
|
Probit and Tobit
|
|
14
|
Introduction to Panel Data Analysis
|
|
15
|
Summary
|