Keio University Syllabus and Timetable

GENERAL EDUCATION SEMINAR

SubtitleIntroduction to R
Lecturer(s)MIKAWA, NAOTO
Credit(s)2
Academic Year/Semester2025 Spring
Day/PeriodThu.4
CampusHiyoshi
Class FormatFace-to-face classes (conducted mainly in-person)
Registration Number49312
Faculty/Graduate SchoolECONOMICS
Department/MajorECONOMICS Type A, B
Year Level1, 2
FieldGENERAL EDUCATION MANDATORY ELECTIVE (CATEGORY III)
RemarksSmall-group seminar course
Grade TypeThis item will appear when you log in (Keio ID required).
K-Number FEC-EC-01342-311-86
Course AdministratorFaculty/Graduate SchoolFECECONOMICS
Department/MajorECECONOMICS
Main Course NumberLevel0Faculty-wide
Major Classification1General Education Course
Minor Classification34Category Ⅲ(Interdisciplinary) - Small-Group Seminar
Subject Type2Elective required subject
Supplemental Course InformationClass Classification3Seminar
Class Format1Face-to-face classes (conducted mainly in-person)
Language of Instruction1Japanese
Academic Discipline86Comprehensive / Integrated Areas (Social Sciences)

Course Contents/Objectives/Teaching Method/Intended Learning Outcome

In this course, students will learn methods of empirical analysis in economics alongside the use of the statistical software R (RStudio).

This course aims to develop logical thinking skills necessary to analyze real-world issues, building on knowledge of econometrics. The main objectives are to acquire a basic understanding of econometrics, grasp the meaning of analytical methods, and learn how to interpret results.

To achieve these objectives, the course will begin with an explanation of empirical analysis methods, followed by student presentations on the empirical analysis they want to conduct.

Active Learning MethodsDescription

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Preparatory Study

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Course Plan

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Method of Evaluation

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Textbooks

『Rによるデータ分析入門―経済分析の基礎から因果推論まで―』松浦寿幸著 東京図書 2024年 ISBN:978-4489024245

Reference Books

『Rによる計量政治学』浅野正彦 、矢内勇生著 オーム社 2018年 ISBN: 978-4274223136

Lecturer's Comments to Students

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Question/Comments

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