| Academic Year |
2025Year |
School/Graduate School |
Graduate School of Humanities and Social Sciences (Master's Course) Division of Humanities and Social Sciences Social Data Science Program |
| Lecture Code |
WMK00900 |
Subject Classification |
Specialized Education |
| Subject Name |
計量経済学 |
Subject Name
（Katakana） |
ケイリョウケイザイガク |
Subject Name in
English |
Econometrics |
| Instructor |
SUZUKI YOSHIHISA,KAJIKAWA HIROAKI,HARADA YUSUKE |
Instructor
(Katakana) |
スズキ ヨシヒサ,カジカワ ヒロアキ,ハラダ ユウスケ |
| Campus |
Higashi-Senda |
Semester/Term |
1st-Year, Second Semester, Second Semester |
| Days, Periods, and Classrooms |
(2nd) Weds11-12 |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
Face-to-face |
| Lecture |
| Credits |
2.0 |
Class Hours/Week |
2 |
Language of Instruction |
B
:
Japanese／English |
| Course Level |
5
:
Graduate Basic
|
| Course Area（Area） |
24
:
Social Sciences |
| Course Area（Discipline） |
03
:
Economics |
| Eligible Students |
M1 |
| Keywords |
Econometrics, Statistics,Time Series Data, Panel Data Analysis |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Class Objectives
/Class Outline |
The class talks on introductory statistics and econometrics necessary to study the field of Social Science. |
| Class Schedule |
1. The nature of Econometrics
2. Probability
3. Random variables and their distribution 1
4. Random variables and their distribution 2
5. Sample distribution 1
6. Sample distribution 2
7. Properties of estimators
8. Criteria for estimators
9. Hypothesis testing
10. Classical linear regression model
11. Specification
12. Violating assumption 1
13. Violating assumption 2
14. Multiple regression model
15. Using multiple regression model
Project Report is mondatory.
To be announced.
|
Text/Reference
Books,etc. |
To be announced. |
PC or AV used in
Class,etc. |
Handouts, moodle |
| (More Details) |
Lecture notes, Excel, PowerPoint materials |
| Learning techniques to be incorporated |
Discussions, Quizzes/ Quiz format |
Suggestions on
Preparation and
Review |
TBA |
| Requirements |
|
| Grading Method |
Project Report 100%. |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
|
| Other |
|
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. |