学部・大学院区分
Undergraduate / Graduate		開・博前
時間割コード
Registration Code		3060918
科目区分
Course Category		演習
Seminars
科目名　【日本語】
Course Title		経済開発政策・マネジメント演習Ⅱb
科目名　【英語】
Course Title		Seminar on Economic Development Policy and Management IIb
コースナンバリングコード
Course Numbering Code		INT2S6090～609
担当教員　【日本語】
Instructor		MENDEZ GUERRA Carlos albe ○
担当教員　【英語】
Instructor		MENDEZ GUERRA Carlos alberto ○
単位数
Credits		2
開講期・開講時間帯
Term / Day / Period		春 火曜日 ４時限
Spring Tue 4
授業形態
Course style		演習
Seminar


授業の目的　【日本語】
Goals of the Course(JPN)
この研究セミナーでは、開発経済学、空間データ科学、計量経済学の統合を利用し、サブナショナルな地域や国をまたがる持続可能な開発のプロセスを理解し、情報を提供します。学生は、定量的研究プロジェクトを設計、管理、実行するのに役立つ最新の計算機研究ワークフローを学ぶことが期待されています。
授業の目的　【英語】
Goals of the Course
In this research seminar, we exploit the integration of development economics, spatial data science, and econometrics to understand and inform the process of sustainable development across subnational regions and countries. Students are expected to learn a modern computational research workflow that helps them design, manage, and execute their quantitative research projects.
到達目標　【日本語】
Objectives of the Course(JPN)
- データサイエンスと科学計算の最新の進歩に基づいた研究ワークフローを学びます。
- Python、R、Geoda、Stataなどの複数のプログラミング言語を統合することで研究プロジェクトを実行できます。
- オープンサイエンスの枠組みに基づいて研究結果を伝えることができます。
到達目標　【英語】
Objectives of the Course
- Develop a computational research workflow that is consistent with the latest advances in data science and scientific computing.
- Handle quantitative research tasks by integrating multiple software packages and programming languages such as Python, R, Geoda, and Stata.
- Be able to communicate research findings in a way that is consistent with the open science framework.
授業の内容や構成
Course Content / Plan
The seminar schedule is decided at the start of each semester. Each seminar session usually has two parts: a paper discussion section and a research progress presentation.

Our research agenda covers a variety of topics such as:
(1) Regional inequality and development beyond GDP
(2) Quantitative geography of development
(3) Economic and social convergence
(4) Regional labor market outcomes and macroeconomic shocks
(5) Economic growth and structural change

We also use a variety of research methods such as:
(1) Spatial econometrics
(2) Panel data econometrics
(3) Time series econometrics
(4) Nonparametric econometrics
(5) Bayesian econometrics
(6) Machine learning methods
履修条件・関連する科目
Course Prerequisites and Related Courses
There is no precondition to take this course. However, to reduce differences in quantitative background, some students will be requested to take some online courses.
成績評価の方法と基準
Course Evaluation Method and Criteria
Presentations of research papers (40%) and results research progress (60%) are comprehensively evaluated. To receive credit for this course, students are expected to achieve an overall evaluation equal or superior to C- or C (where applicable).
教科書・参考書
Textbook/Reference Book
The following recent ebooks are available when using the internet of Nagoya University.

- Dayal, V. (2020). Quantitative economics with R : A data science approach. Singapore: Springer. Ebook: https://ebookcentral.proquest.com/lib/nagoyauniv/detail.action?docID=6112508
- Fischer, M. and Nijkamp, P. (2021). Handbook of regional science. Berlin: Springer. E-book: https://link.springer.com/referencework/10.1007%2F978-3-642-36203-3
- Grekousis, G. (2020). Spatial Analysis Methods and Practice: Describe – Explore – Explain through GIS. Cambridge: Cambridge University Press. doi:10.1017/9781108614528. E-book: https://www.cambridge.org/core/books/spatial-analysis-methods-and-practice/4C135005A621335D06CC63EFF17E3913
- Mendez, C. (2020). Convergence Clubs in Labor Productivity and Its Proximate Sources: Evidence from Developed and Developing Countries. City-state: Springer. https://doi.org/10.1007/978-981-15-8629-3. E-book: https://ebookcentral.proquest.com/lib/nagoyauniv/detail.action?docID=6386038
課外学習等（授業時間外学習の指示）
Study Load(Self-directed Learning Outside Course Hours)
- For online learning and communication purposes, we use https://discord.com . Links to most of our learning materials are available on this website (access credentials to private channels are issued in the first week of each semester).
注意事項
Notice for Students
To individually contact the instructor, send an email to carlos@gsid.nagoya-u.ac.jp or make an appointment at https://carlos777.youcanbook.me/
使用言語
Language(s) for Instruction & Discussion
English
授業開講形態等
Lecture format, etc.
対面で実施します。
Classes will be held in-person.
遠隔授業（オンデマンド型）で行う場合の追加措置
Additional measures for remote class (on-demand class)
- For online learning and communication purposes, we use https://discord.com . Links to most of our learning materials are available on this website (access credentials to private channels are issued in the first week of each semester).