科目ナンバー

GM-OM2-SB01

履修条件・関連科目等

Students must have passed Introductory economics (Macroeconomics) and Microeconomics.

授業で使用する言語

英語

授業で使用する言語（その他の言語）

授業の概要

In the seminars, students can pursue socio-economic, firm, and managerial issues that they like. They will learn to independently identify specific problems and propose corresponding solutions based on evidence derived from data analysis. Students begin by studying basic statistics, economic reports, and academic papers. They also learn to analyze data, conduct estimations, and present the results. The curriculum involves studying applied methods alongside reading papers on a variety of economic topics. Students then select a topic of interest, conduct a literature review, formulate their own hypothesis, gather data to test it, analyze the data, and report their findings. By following a step-by-step approach, students gradually acquire the knowledge and skills necessary to produce a meaningful and high-quality graduation thesis (or project).

The language used for the graduation thesis (or research project) is English. It is preferable to use quantitative methods and microdata to address the research questions. Learning to use statistical software effectively is an essential part of the process.

Specifically, in Seminar I, students will study or review basic statistical concepts, read and analyze economic papers.

科目目的

The course is to help students expand their knowledge on economic issues of their interest and basic tools for doing proper data analyses.

到達目標

By the end of the Seminar I, students should be able to identify socio-economic problems and how they are solved in the previous studies. Students should be able to find, do presentations, and comments on academic papers.

授業計画と内容

Course content & schedule (subject to change):

1. Introduction.
2. Data and decision making. How to talk in your presentation.
3. Academic research papers.
4. Students’ presentation (1). Review basic statistics (1).
5. Students’ presentation (2). Review basic statistics (2). Data and R studio.
6. Students’ presentation (3). How to start with a topic/problem for your graduation thesis. R studio packages to extract data from various sources.
7. Students’ presentation (4). How to search and find papers for your presentation.
8. Students’ presentation (5). Descriptive statistics with R studio.
9. Basic causal inference. Discussion.
10. Selection bias, Simpson’s paradox, and regression.
11. Students’ presentation (6). Potential issues in regression.
12. Students’ presentation (7). How to move from problems to research questions.
13. Students’ presentation (8). How to move from problems to the sources.
14. Students’ presentation (9).

授業時間外の学修の内容

指定したテキストやレジュメを事前に読み込むこと／その他

授業時間外の学修の内容（その他の内容等）

R studio

授業時間外の学修に必要な時間数／週

・毎週１回の授業が半期（前期または後期）または通年で完結するもの。１週間あたり４時間の学修を基本とします。
・毎週２回の授業が半期（前期または後期）で完結するもの。１週間あたり８時間の学修を基本とします。

成績評価の方法・基準

成績評価の方法・基準（備考）

課題や試験のフィードバック方法

授業時間内で講評・解説の時間を設ける

課題や試験のフィードバック方法（その他の内容等）

アクティブ・ラーニングの実施内容

プレゼンテーション

アクティブ・ラーニングの実施内容（その他の内容等）

授業におけるICTの活用方法

実施しない

授業におけるICTの活用方法（その他の内容等）

実務経験のある教員による授業

いいえ

【実務経験有の場合】実務経験の内容

【実務経験有の場合】実務経験に関連する授業内容

テキスト・参考文献等

Textbook

Mesquita and Flower. (2021). Thinking clearly with data. A guide to quantitative reasoning and analysis. https://ufinity.library.chuo-u.ac.jp/iwjs0002opc/BB01704706.
中央館　開架　請求記号301.01/B92

Reference books

1. Booth, Wayne C., et al. (2024). The Craft of Research, Fifth Edition, University of Chicago Press. ProQuest Ebook Central, https://www.proquest.com/legacydocview/EBC/31597372?accountid=26790

2. Jonathan Schwabish. (2017). Better Presentations: A guide for scholars, researchers, and wonks. Columbia University Press: New York. ProQuest Ebook Central, https://ebookcentral.proquest.com/lib/chuouniv-ebooks/detail.action?docID=4723060&query=Better%20Presentations:%20A%20guide%20for%20scholars,%20researchers,%20and%20wonks

その他特記事項

Class attendance is mandatory, and absences without valid reasons are strongly discouraged. The seminars build on prior knowledge and cumulative learning. Without a solid foundation of basic concepts and consistent engagement, it can be extremely challenging to keep up with the course material. Just sitting in the class does not guarantee the credit.

Also, all materials provided and introduced will be applied into your graduation thesis. Without sufficient attention during the class including other student presentations' content and of course, class attendance, students will not be able to apply into their graduation thesis and graduate in time. If students have to miss the class, students must keep up with the missing content.

(Self) Learning to use statistical software effectively is a crucial part of the process.

Presentations, lectures, discussions, and the graduation thesis (research project) are conducted entirely in English. The use of quantitative methods and microdata is strongly encouraged to address the research questions.

It is important to regularly check your university email and Manaba for important notices and announcements. Communication is a key measure to resolve any arising problems. When writing an email, ensure that your email includes a clear and meaningful subject line, your full name, student ID, and a mention that you are referring to this class. Most importantly, write concisely and clearly explain the purpose of your communication. It is advisable to proofread your email in English before sending it.

It is assumed that all students will continue for Seminar IV and V. However, if students opt this out (student ID with 23F, 24F only), the students must notify the advisor as early as possible.

参考URL

Seminar's page

https://sites.google.com/g.chuo-u.ac.jp/tienmanhvu/

Instructor's site

https://sites.google.com/view/tienmanhvu/