科目ナンバー

GM-OM3-SI02

履修条件・関連科目等

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

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

Students will search for topics of interest, do literature review and seek unanswered research questions to study. Students are expected to have a plan to obtain the data to answer their research questions by the end of the semester. Also, students will study the most “powerful” method in causal inference in practice, randomized controlled trial.

From the literature, students will also study contemporary economic issues, such as (but not limited to) firms and growth, firms’ productivity and development, global competitions, supply of labors, investment in human capital and firms, political connections and firms’ performance, firms’ responses to economic policies, place-based policies and firms’ success, industrial policies, socio-economic problems and solutions, such as aging society, inequality, gender inequality, and etc.

科目目的

The course is to help students to shape their topic of interest and research questions properly. The course is for students to display their investigation on the literature within the topic.

到達目標

By the end of the course, students should be able to set up a research topic for the graduation thesis/project with meaningful research questions. Students can demonstrate how to get relevant literature on the topic. Besides, students should apply for the data access/usage if necessary, or conduct their own survey, or collect the necessary data as soon as possible, especially when the semester ends.

授業計画と内容

Course content & schedule (subject to change):

1. Introduction. Problem statement.
2. Students’ presentation (1). Methods to claim for causal inference.
3. Students’ presentation (2). Problem statement and literature review.
4. Students’ presentation (3). Impact evaluation: How to conduct. Policy evaluation for your graduation thesis.
5. Students’ presentation (4). The evaluation problem. Internal, external validity, and trade-offs. How to make claims.
6. Students’ presentation (5). Overview of impact evaluation methods. Randomized controlled trials.
7. Students’ presentation (6). Practical advice for implementing randomized controlled trials. Sample size, sample design and statistical power.
8. Students’ presentation (7). Ethical impact evaluations. Designing questionnaires and other data collection instruments.
9. How to find data to answer your research questions. How to engage with the sources.
10. Students’ presentation (8): research progress report. How to protect copyright and get permission.
11. Students’ presentation (9): research progress report. How to apply for access to a database.
12. Students’ presentation (10): research progress report. How to know if your hypothesis is naive?
13. Students’ presentation (11): research progress report. How to improve your hypothesis.
14. Students’ presentation (12): research progress report.

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

Textbooks

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. Glewwe, P. & Todd, P. (2021). Impact Evaluation in International Development : Theory, Methods, and Practice. The World Bank. Free access: https://ebookcentral.proquest.com/lib/chuouniv-ebooks/reader.action?docID=29176653

Reference books

1. Elena Llaudet and Kosuke Imai. (2023). Data analysis for social science : a friendly and practical introduction. Princeton University Press. https://ufinity.library.chuo-u.ac.jp/iwjs0002opc/BB01676196 .
社会情報研究室　社会情報　請求記号300.1/L79

2. 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

3. 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

4. Joshua D. Angrist and Jörn-Steffen Pischke. (2015). Mastering 'metrics : the path from cause to effect. Princeton University Press. https://ufinity.library.chuo-u.ac.jp/iwjs0002opc/BB01559792.
中央　 開架　請求記号330.18/A59.

5. Rosenbaum. (2023). Causal Inference. MIT press. ProQuest Ebook Central, https://ebookcentral.proquest.com/lib/chuouniv-ebooks/detail.action?docID=29673076&query=causal%20inference

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 and to conduct the graduation thesis. 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 contains 23F, 24F and younger cohort only), the students must notify the advisor as early as the beginning of the semester.

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/