Research Seminar III

Research Seminar III

専門教育科目

—

国際商経学部

3年

KCCBG3MCA3

2単位

演習 (Seminar)

2026年度後期

(Fall semester)

Jean-Baptiste M.B. SANFO

国際商経学部

英語

目標9

Before or after class, in the classroom

Office: Research Building I Room A 204

sanfo@em.u-hyogo.ac.jp

1◎／2〇／3〇

ー

ー

ー

【Course Objectives】

This course builds on the skills developed in Seminar II as we continue to use advanced econometric and data analysis techniques in R. Students will even deepen their ability to design empirical analyses, implement more complex models, and critically evaluate results. Emphasis is placed on model selection, robustness checks, and interpretation in applied research contexts. Through hands-on exercises and project-based work, students will further develop their capacity to conduct independent data analysis and communicate findings effectively in academic and professional settings.

【Learning Outcomes】

By the end of this course, students will be able to:

1. Use R to conduct advanced data preparation, visualization, and econometric analysis.
2. Critically interpret, validate, and clearly communicate empirical results for academic and applied audiences.
3. Design and execute an independent empirical research project, from research question formulation to final
presentation.

Econometric analysis; applied statistic; R; data analysis; data visualization

This course builds on the hands-on and interactive approach of Seminar II, with increased emphasis on student independence and research initiative toward their thesis. Students are expected to take primary responsibility for defining their research topics, selecting appropriate data, and designing empirical analyses. The instructor’s role is to provide guidance, feedback, and methodological support throughout the research process rather than step-by-step instruction.

Active participation remains essential. The course is designed to foster autonomy, critical thinking, and confidence in conducting empirical research, creating a collaborative yet student-driven learning environment.

ハイブリッド（対面）

Studentswill decide on a research topic. Then, they will conduct research on the chosen topic using real-world data.
Econometric models will be implemented in R, but they can use other statistical packages.

For sessions conducted remotely, students must have the necessary equipment and internet access (e.g., a computer and a stable Wi-Fi connection) to attend classes from home or other locations. Sessions to be conducted remotely will be determined and communicated after course registration.

利用する場面を限定し許可

Students are required to comply with the University of Hyogo's policy regarding the use of generative AI tools. Generative AI may be used as a supplementary aid for learning activities such as drafting reports or conducting preliminary research, provided that students critically assess the content produced. Students are responsible for verifying the accuracy of all information, properly acknowledging sources and references, and ensuring that submitted work reflects their own understanding and independent effort. Assignments generated primarily by generative AI, or submitted without appropriate revision and original contribution, are not permitted.

If inappropriate use of generative AI is identified, the assignment may receive no credit or other academic measures may be taken in accordance with university regulations.

Using R for Introductory Econometrics 2nd edition, by  Florian Heiss. The textbook can be accessed for free using this link:  https://www.urfie.net/downloads/PDF/URfIE_web.pdf

Applied Statistics with R, by  David Dalpiaz. https://book.stat420.org/

Introductory Econometrics: A Modern Approach, by Jeffrey M. Wooldridge

H. Stock & M. M. Watson Introduction to Econometrics 4th ed. Pearson

【Pre-Learning】Students will be provided with lecture notes and handouts beforehand. Please read them before the class.

【Post- Learning】Lecture notes and handouts will contain exercises or questions. Please review them after the class.

Students will be asked to share their understanding of given concepts or asked to report orally what they discussed in groups.
Econometric models will be estimated in class using real-world data. We will discuss estimation results together.
Students will estimate econometric models and give presentations on their findings.

Engagement in classroom activities (40%)

Research project and research presentation (60%)

In the classroom

N/A

Remember that making mistakes is a natural part of the learning process. Don’t fear mistakes; instead, view them as valuable opportunities for growth. Be proactive in your learning by seeking help, asking questions, and sharing your thoughts. Learning is a collaborative effort, and I’m here to support you every step of the way. Just as you are learning, so am I; together, we can create a positive and enriching experience. Let’s engage, explore, and learn from each other!