| Academic Year |
2026Year |
School/Graduate School |
School of Economics Economics Day Course |
| Lecture Code |
G6177325 |
Subject Classification |
Specialized Education |
| Subject Name |
経済統計学 |
Subject Name (Katakana) |
ケイザイトウケイガク |
Subject Name in English |
Economic Statistics |
| Instructor |
To be announced.,NAKANISHI TADASHI |
Instructor (Katakana) |
タントウキョウインミテイ,ナカニシ タダシ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
2nd-Year, First Semester, 2Term |
| Days, Periods, and Classrooms |
(2T) Fri1-4 |
| Lesson Style |
Lecture |
Lesson Style (More Details) |
Face-to-face, Online (on-demand) |
| |
| Credits |
2.0 |
Class Hours/Week |
4 |
Language of Instruction |
J
:
Japanese |
| Course Level |
3
:
Undergraduate High-Intermediate
|
| Course Area(Area) |
24
:
Social Sciences |
| Course Area(Discipline) |
03
:
Economics |
| Eligible Students |
2年次生以上 |
| Keywords |
Economic Statistics, Japanese Government Statistics, Time Series, Regression Analysis, Principal Component 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) | Economic Analysis (Abilities and Skills) ・The ability of developing mathematical analysis applying knowledge Economic theory, Statistics and Econometrics. |
Class Objectives /Class Outline |
This course introduces fundamental statistical methods necessary for economic data analysis and develops the ability to understand and analyze economic phenomena based on data. |
| Class Schedule |
1. Course Guidance 2. Handling of Time Series Data 3. Japanese Government Statistics 4. Census 5. Differential Calculus 6. Simple Regression Analysis (1) 7. Simple Regression Analysis (2) 8. Midterm Examination 9. Review of the First Half 10. Multiple Regression Analysis (1) 11. Multiple Regression Analysis (2) 12. Principal Component Analysis (1) 13. Principal Component Analysis (2) 14. Consumer Price Index 15. Course Summary
Homework, Mid-term exam, Final exam |
Text/Reference Books,etc. |
Textbooks and reference materials will be introduced as needed. |
PC or AV used in Class,etc. |
Handouts, Zoom, moodle |
| (More Details) |
|
| Learning techniques to be incorporated |
Quizzes/ Quiz format |
Suggestions on Preparation and Review |
Students are expected to carefully read the distributed materials and make efforts to prepare for and review each class. |
| Requirements |
Lectures will be conducted in an on-demand format. Lecture videos will be uploaded to Moodle before the start of each lecture. The midterm and final examinations will be conducted in person. |
| Grading Method |
HW, Mid-term exam, Final exam |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
Bring your laptop |
| 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. |