授業の目的 【日本語】
Goals of the Course(JPN) | | | この研究セミナーでは、計量経済学、データサイエンス、機械学習の手法を統合します。 このセミナーのメンバーは、国、地域、産業の持続可能な開発のプロセスを理解することを目的としています。 学生は、最新の計算研究ワークフローを学びます。 このワークフローは、定量的研究プロジェクトの設計、管理、および実行に役立ちます。 |
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授業の目的 【英語】
Goals of the Course | | | In this research seminar, we will exploit the integration of econometrics, data science, and machine learning methods to understand and inform the process of sustainable development of countries, regions, and industries. Students are expected to learn a modern computational research workflow that is going to help them design, manage, and execute their quantitative research projects. |
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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、Matlab、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。 |
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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 programming languages such as Python, R, Matlab, and Stata.
- Be able to communicate research findings in a way that is consistent with the open science framework. |
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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. In the first part, all members of the seminar use a digital whiteboard to jointly summarize the most important components of a research paper. In the second part, students present and discuss their research progress.
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 |
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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. |
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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). |
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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
A list of other books and resources is available at https://facebook.com/groups/QuaRCS.Lab |
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課外学習等（授業時間外学習の指示）
Study Load(Self-directed Learning Outside Course Hours) | | Our seminar has its own public website at https://quarcs-lab.org, which includes a series of open learning resources, news about events, and summaries of our research outputs.
- Our seminar also has a private Facebook group https://facebook.com/groups/QuaRCS.Lab. Links to most of our learning materials are available in this website (access credentials are issued in the first week of each semester). |
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注意事項
Notice for Students | | For internal communication, coordination, and access to protected learning resources, we use a private e-mailing list (access credentials are issued in the first week of each semester).
To individually contact the instructor, send an email to carlos@gsid.nagoya-u.ac.jp or make an appointment at https://carlos777.youcanbook.me/ |
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使用言語
Language(s) for Instruction & Discussion | | |
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授業開講形態等
Lecture format, etc. | | 対⾯・遠隔（同時双方向型）の併⽤。遠隔授業は Teams、Zoom等で⾏う。
※履修登録後に授業形態等に変更がある場合には、NUCＴの授業サイトで案内します。
Combination of face-to-face and remote (interactive communication class) classes. Remote classes are conducted via Teams, Zoom, etc.
*Guidance will be posted on NUCT if there are any changes in the class format, etc. after registration. |
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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) | | |
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