タイトル

開講年度 開講学部等
2025 大学院経済学研究科(修士課程)
開講学期 曜日時限 授業形態 AL(アクティブ・ラーニング)ポイント
後期 火3~4 講義 7.5
時間割番号 科目名[英文名] 使用言語 単位数
2032000045 Economic Statistics[Economic Statistics] 英語 2
担当教員(責任)[ローマ字表記] メディア授業
福代 和宏[FUKUYO Kazuhiro]
担当教員[ローマ字表記]
福代 和宏 [FUKUYO Kazuhiro]
特定科目区分   対象学生   対象年次  
ディプロマ・ポリシーに関わる項目 カリキュラムマップ(授業科目とDPとの対応関係はこちらから閲覧できます)
授業の目的と概要
This course provides an introduction to statistical analysis of economic data. The characteristics of this course are as follows:
(1) Practice first: In this course, participants study the practical use of statistical methods.
(2) Flipped classroom: it reverses the traditional learning environment; Participants read the course materials before and after the classes and conduct practice and discussion in the classroom.

The data used in this course relates to economic activities, living standards, energy consumption, etc., and through analyzing these data, students will recognize the importance of utilizing economic data in policy planning and evaluation.
授業の到達目標
授業計画
【全体】
Participants first learn about the importance of economic statistics, then learn how to obtain economic statistical data and how to handle it in a spreadsheet.
After acquiring basic skills, students will solve practice problems to master the theory and practice of statistical tests, regression analysis, and other techniques.
Finally, students will independently select a research topic related to economic statistics, analyze it using statistical methods, and compile the results in a short report.
項目 内容 授業時間外学習 備考
第1回 Introduction Introduction to statistical analysis of economic data We will use Microsoft Excel for practices.

Please load the "Analysis ToolPak" in Excel until the next lecture.
To load it, see the following site:
https://
support.microsoft.com/en us/office/load the
analysis toolpak in excel 6a63e598 cd6d 42e3 9317
6b40ba1a66b4

Or

Search "Load the Analysis ToolPak in Excel Office
Support" by google or the other search engines.

(4 hours)
第2回 Confirmation of the loading of "Analysis ToolPak" in Excel Confirmation of "Analysis ToolPak" installation.
Explanation of how to conduct this course.
Preparation and/or review (4 hours).
第3回 Make a brief information of your country Making a brief information of the participants' counties in the following manner:
(1) Use Microsoft Word or Powerpoint.
(2) Summarize in 2 or 3 pages.
Preparation and/or review (4 hours).
第4回 Data input, basic analysis, etc. with Excel Practice: Data input, basic analysis, etc. with Excel

How to use "Descriptive Statistics" of the "Data Analysis Tools" of the Excel.
Preparation and/or review (4 hours).
第5回 Descriptive Statistics To understand the following items:
(1) How to make a table of descriptive statistics
(2) How to make a histogram by using economic data
Preparation and/or review (4 hours).
第6回 Descriptive and inferential statistics (1) To understand the difference between the descriptive inferential statistics
(2) How to conduct inferential statistics
(3) To understand statistical hypothesis testings
Preparation and/or review (4 hours).
第7回 Basics of the
correlation and
regression analyses
To understand the basics of the correlation and regression analyses Preparation and/or review (4 hours).
第8回 Getting and analyzing real data How to get the economic data necessary for data analysis Preparation and/or review (4 hours).
※AL(アクティブ・ラーニング)欄に関する注
・授業全体で、AL(アクティブ・ラーニング)が占める時間の割合を、それぞれの項目ごとに示しています。
・A〜Dのアルファベットは、以下の学修形態を指しています。
【A:グループワーク】、【B:ディスカッション・ディベート】、【C:フィールドワーク(実験・実習、演習を含む)】、【D:プレゼンテーション】
A: --% B: 25% C: 25% D: 25%
成績評価法
Evaluation will be based on the reports in class and the report prepared at the end of the semester.

Report: 50%
End-of-term report: 50%
教科書にかかわる情報
備考
Course materials will be provided through the learning platform: "eYUSDL".
参考書にかかわる情報
備考
Emmanuel Paradis “R for Beginners” (2002) is the useful book for this course. You can get this at the following link: https:// cran.r project.org/doc/contrib/Paradis rdebuts_en.pdf
You can get many documents relating to this course: https ://cran.r project.org/
メッセージ
キーワード
Statistics, Economy, Analysis
持続可能な開発目標(SDGs)

関連科目
履修条件
連絡先
If you have questions after the lectures, you can ask me by e-mail: fukuyo[at]yamaguchi-u....
オフィスアワー
Friday 14:00-17:00 (by using Web meeting tools. Please make preliminary contacts with the lecturer by e-mail)

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