科目ナンバー

GM-OM3-SI02

履修条件・関連科目等

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 some basic methods in causal inference in practice (impact evaluations).

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 and problem of low fertility rate, 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 with meaningful research questions, and collect enough relevant literature on the topic. Besides, students should apply for the usage of data 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: Knowing which path you are taking.
2. Research topics and research questions. Making claims.
3. Engaging your sources. How to find the data to answer your research questions.
4. Why evaluate?
5. Preparing for an evaluation. Choosing a sample.
6. How to evaluate? Causal inference and Counterfactual.
7. Individual presentations on literature review, data sources, and main variables. Randomized assignment (1).
8. Individual presentations on literature review, data sources, and main variables. Randomized assignment (2).
9. Individual presentations on literature review, data sources, and main variables. Managing an impact evaluation.
10. Individual presentations on literature review, data sources, and main variables. Ethics and science of impact evaluation.
11. Individual presentations on literature review, data sources, and main variables. Method (Part 1).
12. Individual presentations on literature review, data sources, and main variables. Method (Part 2).
13. Individual presentations on literature review, data sources, and main variables. Method (Part 3).
14. Individual presentations on literature review, data sources, and main variables. Method (Part 4).

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

授業時間外の学修の内容（その他の内容等）

授業時間外の学修に必要な時間数／週

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

グループワーク／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. 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
2. FitzGerald. (2016). “The craft of research. Fourth edition”. The University of Chicago Press: Chicago. (Free access: https://ebookcentral.proquest.com/lib/chuouniv-ebooks/detail.action?docID=4785166&query=The%20craft%20of%20research)
3. Mesquita and Flower. (2021). "Thinking clearly with data. A guide to quantitative reasoning and analysis".

その他特記事項

It is preferable to use quantitative methods and microdata to answer the research questions. Language is English for all reports, presentations, and thesis. Learning how to use statistical software gradually is a must.
Class attendance is mandatory.

参考URL

Seminar's page

https://sites.google.com/g.chuo-u.ac.jp/tienmanhvu/prologue?authuser=0

Instructor's site

https://sites.google.com/view/tienmanhvu/home?authuser=0