| Academic Year |
2025Year |
School/Graduate School |
Graduate School of Humanities and Social Sciences (Master's Course) Division of Humanities and Social Sciences Economics Program |
| Lecture Code |
WMEZ1202 |
Subject Classification |
Specialized Education |
| Subject Name |
経済学プログラム特別演習II |
Subject Name
（Katakana） |
ケイザイガクプログラムトクベツエンシュウII |
Subject Name in
English |
Special Seminar on Economics Program |
| Instructor |
ONO SADAYUKI |
Instructor
(Katakana) |
オノ サダユキ |
| Campus |
Higashi-Senda |
Semester/Term |
1st-Year, Second Semester, Second Semester |
| Days, Periods, and Classrooms |
(2nd) Inte：Higashi-Senda Seminar Rm 9 |
| Lesson Style |
Seminar |
Lesson Style
(More Details) |
Face-to-face, Online (simultaneous interactive), Online (on-demand) |
| Online, seminar, discussion, presentation |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
J
:
Japanese |
| Course Level |
6
:
Graduate Advanced
|
| Course Area（Area） |
24
:
Social Sciences |
| Course Area（Discipline） |
03
:
Economics |
| Eligible Students |
|
| Keywords |
|
| 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 objective of this course is to master the idea of time-series analysis, the method of data management for empirical research. For this purpose, this course practices PC programming software such as Matlab or Eviews. If time is available, students are required to make presentations of papers that are related to their master thesis. |
| Class Schedule |
Statistical items in (1) to (9) below are presented and discussed.
We will also learn how to program using Matlab in (11) to (14) below.
(1)Introduction to statistics
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(2)Sample distribution
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(3)Probability and probability distribution
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(4)Uniform and normal distributions
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(5)Statistical significance and mean estimates
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(6)t distribution and chi-square distribution
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(7)Hypothesis testing
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(8)Correlation analysis
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(9)Regression analysis
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(10)Exam on Statistics
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(11) The basics of working with Matlab
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(12)Matrix computation by Matlab
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(13)Managing data with Matlab
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(14)Computation of maxima and minima by Matlab and implementation of regressive analyses
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(15)Exam on Matlab
|
Text/Reference
Books,etc. |
Reference:
For statistics,
•初めての統計学/ 鳥居泰彦著
For econometrics
•べーシック計量経済学/ 羽森 茂之著
For time-series analysis,
•経済・ファイナンスデータの計量時系列分析/ 沖本 竜義著
•Time Series Analysis / James D. Hamilton著
•Applied Econometric Time Series / Walter Enders著
For MATLAB programming,
•MATLABプログラミング入門 / 上坂吉則著
For EViews,
•EViewsによる経済計量学入門; by 松浦克己、コリン・マッケンジー
•EViewsで学ぶ実証分析の方法/ 北岡孝義 他著 |
PC or AV used in
Class,etc. |
Visual Materials, Microsoft Teams, Microsoft Stream, moodle |
| (More Details) |
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| Learning techniques to be incorporated |
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Suggestions on
Preparation and
Review |
Review is important to master PC software and programming. |
| Requirements |
The enrollment of this course is restricted to students whose thesis is under my supervision. |
| Grading Method |
Your grade will be determined based on the results of the test that assesses your knowledge of statistics and the test that checks your level of proficiency with Matlab. Each test contributes 50% to your final grade. |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
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| 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. |