日本語 English
| 開講年度/ Academic YearAcademic Year |
20252025 |
| 科目設置学部/ CollegeCollege |
経営学研究科/Graduate School of BusinessGraduate School of Business |
| 科目コード等/ Course CodeCourse Code |
KT231/KT231KT231 |
| テーマ・サブタイトル等/ Theme・SubtitleTheme・Subtitle |
|
| 授業形態/ Class FormatClass Format |
対面（全回対面）/Face to face (all classes are face-to-face)Face to face (all classes are face-to-face) |
| 授業形態（補足事項）/ Class Format (Supplementary Items)Class Format (Supplementary Items) |
対面 |
| 授業形式/ Class StyleCampus |
講義/LectureLecture |
| 校地/ CampusCampus |
池袋/IkebukuroIkebukuro |
| 学期/ SemesterSemester |
春学期/Spring SemesterSpring Semester |
| 曜日時限・教室/ DayPeriod・RoomDayPeriod・Room |
金2/Fri.2 Fri.2 ログインして教室を表示する（Log in to view the classrooms.） |
| 単位/ CreditsCredits |
22 |
| 科目ナンバリング/ Course NumberCourse Number |
MIB6211 |
| 使用言語/ LanguageLanguage |
英語/EnglishEnglish |
| 履修登録方法/ Class Registration MethodClass Registration Method |
科目コード登録/Course Code RegistrationCourse Code Registration |
| 配当年次/ Assigned YearAssigned Year |
配当年次は開講学部のR Guideに掲載している科目表で確認してください。配当年次は開講学部のR Guideに掲載している科目表で確認してください。 |
| 先修規定/ Prerequisite RegulationsPrerequisite Regulations |
|
| 他学部履修可否/ Acceptance of Other CollegesAcceptance of Other Colleges |
履修登録システムの『他学部・他研究科履修不許可科目一覧』で確認してください。 |
| 履修中止可否/ Course CancellationCourse Cancellation |
－（履修中止制度なし/ No system for cancellation) |
| オンライン授業60単位制限対象科目/ Online Classes Subject to 60-Credit Upper LimitOnline Classes Subject to 60-Credit Upper Limit |
|
| 学位授与方針との関連/ Relationship with Degree PolicyRelationship with Degree Policy |
各授業科目は、学部・研究科の定める学位授与方針（DP）や教育課程編成の方針（CP）に基づき、カリキュラム上に配置されています。詳細はカリキュラム・マップで確認することができます。 |
| 備考/ NotesNotes |
This course provides an introduction to econometric models with their applications. After completing this course, students will understand how to conduct data analysis.
This course covers from basic probability and statistics to fundamental econometric concepts. In class, we will discuss theoretical foundation, implementation of models, and interpretation of results. Students will also study causal inference through empirical examples and exercises.
| 1 | Introduction to Econometrics |
| 2 | Review of probability and statistics (1) |
| 3 | Review of probability and statistics (2) |
| 4 | Hypothesis testing (1) |
| 5 | Hypothesis testing (2) |
| 6 | Simple regression model (1) |
| 7 | Simple regression model (2) |
| 8 | Midterm test |
| 9 | Multiple regression analysis: Estimation (1) |
| 10 | Multiple regression analysis: Estimation (2) |
| 11 | Multiple regression analysis: Inference (1) |
| 12 | Multiple regression analysis: Inference (2) |
| 13 | Binary variables |
| 14 | Final test |
板書 /Writing on the Board
スライド（パワーポイント等）の使用 /Slides (PowerPoint, etc.)
上記以外の視聴覚教材の使用 /Audiovisual Materials Other than Those Listed Above
個人発表 /Individual Presentations
グループ発表 /Group Presentations
ディスカッション・ディベート /Discussion/Debate
実技・実習・実験 /Practicum/Experiments/Practical Training
学内の教室外施設の利用 /Use of On-Campus Facilities Outside the Classroom
校外実習・フィールドワーク /Field Work
上記いずれも用いない予定 /None of the above
Review course materials every week.
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 平常点 (In-class Points) | 100 |
Class participation and discussion(25%) Midterm test(35%) 最終テスト(Final Test)(40%) |
| 備考 (Notes) | ||
| No | 著者名 (Author/Editor) | 書籍名 (Title) | 出版社 (Publisher) | 出版年 (Date) | ISBN/ISSN |
|---|---|---|---|---|---|
| 1 | Jefferey M. Wooldridge | Introductory Econometrics: Modern Approach 7th ed. | South-Western Pub | 2019 | 1337558869 |
| No | 著者名 (Author/Editor) | 書籍名 (Title) | 出版社 (Publisher) | 出版年 (Date) | ISBN/ISSN |
|---|---|---|---|---|---|
| 1 | Joshua D. Angrist and Jörn-Steffen Pischke | Mastering 'Metrics: The Path from Cause to Effect | Princeton University Press | 2014 | 9780691152844 |
本科目では、計量経済学の基礎理論とデータ分析への応用を学ぶ
This course provides an introduction to econometric models with their applications. After completing this course, students will understand how to conduct data analysis.
本科目では、確率・統計の基礎理論から、計量経済学の基本コンセプトまでを講義する。クラス内討議を通じて、理論的な理解から計量モデルの導入および推定結果の解釈までを学ぶ。具体的な事例を通じて因果推論について理解することを目指す。
This course covers from basic probability and statistics to fundamental econometric concepts. In class, we will discuss theoretical foundation, implementation of models, and interpretation of results. Students will also study causal inference through empirical examples and exercises.
| 1 | Introduction to Econometrics |
| 2 | Review of probability and statistics (1) |
| 3 | Review of probability and statistics (2) |
| 4 | Hypothesis testing (1) |
| 5 | Hypothesis testing (2) |
| 6 | Simple regression model (1) |
| 7 | Simple regression model (2) |
| 8 | Midterm test |
| 9 | Multiple regression analysis: Estimation (1) |
| 10 | Multiple regression analysis: Estimation (2) |
| 11 | Multiple regression analysis: Inference (1) |
| 12 | Multiple regression analysis: Inference (2) |
| 13 | Binary variables |
| 14 | Final test |
板書 /Writing on the Board
スライド（パワーポイント等）の使用 /Slides (PowerPoint, etc.)
上記以外の視聴覚教材の使用 /Audiovisual Materials Other than Those Listed Above
個人発表 /Individual Presentations
グループ発表 /Group Presentations
ディスカッション・ディベート /Discussion/Debate
実技・実習・実験 /Practicum/Experiments/Practical Training
学内の教室外施設の利用 /Use of On-Campus Facilities Outside the Classroom
校外実習・フィールドワーク /Field Work
上記いずれも用いない予定 /None of the above
Review course materials every week.
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 平常点 (In-class Points) | 100 |
Class participation and discussion(25%) Midterm test(35%) 最終テスト(Final Test)(40%) |
| 備考 (Notes) | ||
| No | 著者名 (Author/Editor) | 書籍名 (Title) | 出版社 (Publisher) | 出版年 (Date) | ISBN/ISSN |
|---|---|---|---|---|---|
| 1 | Jefferey M. Wooldridge | Introductory Econometrics: Modern Approach 7th ed. | South-Western Pub | 2019 | 1337558869 |
| No | 著者名 (Author/Editor) | 書籍名 (Title) | 出版社 (Publisher) | 出版年 (Date) | ISBN/ISSN |
|---|---|---|---|---|---|
| 1 | Joshua D. Angrist and Jörn-Steffen Pischke | Mastering 'Metrics: The Path from Cause to Effect | Princeton University Press | 2014 | 9780691152844 |