日本語 English
| 開講年度/ Academic YearAcademic Year |
20262026 |
| 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 |
KT471/KT471KT471 |
| 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) |
|
| 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 |
水3/Wed.3 Wed.3 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。 https://www.rikkyo.ac.jp/about/disclosure/educational_policy/business.html |
| 備考/ NotesNotes |
This course aims to equip students with core quantitative skills and econometric techniques for analyzing key topics in Development Economics. It also offers hands-on opportunities to develop empirical analysis skills using Stata.
Development economics explores a wide range of issues in low-income countries, including growth, poverty, inequality, education, urbanization, rural stagnation, environmental degradation, trade, investment, governance, and aid. This course emphasizes empirical research and policy debates on growth, inequality, poverty, and causal inference. Students will build essential skills for advanced empirical analysis using Stata.
| 1 | Introduction: What is development economics good for? |
| 2 | Economic growth theory (1): Harrod-Domar model and System of national accounts |
| 3 | Economic growth theory (2): Slow model and Endogenous growth model, |
| 4 | Inequality and development (1): Basic concepts |
| 5 | Inequality and development (2): Measurement and applications |
| 6 | Poverty and development (1): Basic concepts |
| 7 | Poverty and development (2): Measurement and applications |
| 8 | Decomposition in inequality and poverty (1): A Priori approach |
| 9 | Decomposition in inequality and poverty (2): Explanatory approach |
| 10 | Causal inference analysis (1): Review of probability |
| 11 | Causal inference analysis (2): Potential outcomes casual model |
| 12 | Causal inference analysis (3): Regression analysis |
| 13 | Causal inference analysis (4): Matching |
| 14 | Presentations of research assignment and wrap-up session |
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
Completing the assigned readings before each class session is essential.
Topic-specific homework assignments will be provided accordingly.
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 平常点 (In-class Points) | 100 |
Class participation and discussion(20%) Homework assignment (40%) Final research presentation (15%) Term paper(25%) |
| 備考 (Notes) | ||
| No | 著者名 (Author/Editor) | 書籍名 (Title) | 出版社 (Publisher) | 出版年 (Date) | ISBN/ISSN |
|---|---|---|---|---|---|
| 1 | Todaro M. P. and Stephen S. | Economic Development 12th edition | Pearson | 2014 | 1292002972 |
| 2 | Mehmetoglu M., and Jakobsen G.T. | Applied Statistics Using Stata: A Guide for the Social Sciences Seventh edition | SAGE Publications | 2022 | 9781529742565 |
| 3 | Cunningham S | Causal Inference: The Mixtape. | Yale University Press | 2021 | 0300251688 |
| 4 | Haughton J. and Khandker S. R, | Handbook on poverty + inequality | The World bank | 2009 | 003103 |
| 5 | Janvry A.D. and Elisabeth S. | Development economics : theory and practice | Routledge | 2021 | 9780367456474 |
| No | 著者名 (Author/Editor) | 書籍名 (Title) | 出版社 (Publisher) | 出版年 (Date) | ISBN/ISSN |
|---|---|---|---|---|---|
| 1 | Ray D. | Development Economics First edition | Princeton University Press | 1988 | 0691017069 |
| 2 | Basu K. | Analytical Development Economics | MIT Press | 2003 | 0262523442 |
| 3 | Schaffner J. | Development Economics: Theory, Empirical Research, and Policy Analysis | Wiley | 2013 | 0470599391 |
Completion of Statistics for Economics and Management (KT221) or an equivalent academic background is required.
Stata programming skills are also a prerequisite.
This graduate-level course involves technical content that requires foundational knowledge of statistics, microeconomics, and macroeconomics.
It has proven demanding for many non-MPMA students; prospective participants should carefully assess their preparedness and commitment.
Undergraduate exchange students are not eligible to enroll.
This course aims to equip students with core quantitative skills and econometric techniques for analyzing key topics in Development Economics. It also offers hands-on opportunities to develop empirical analysis skills using Stata.
Development economics explores a wide range of issues in low-income countries, including growth, poverty, inequality, education, urbanization, rural stagnation, environmental degradation, trade, investment, governance, and aid. This course emphasizes empirical research and policy debates on growth, inequality, poverty, and causal inference. Students will build essential skills for advanced empirical analysis using Stata.
| 1 | Introduction: What is development economics good for? |
| 2 | Economic growth theory (1): Harrod-Domar model and System of national accounts |
| 3 | Economic growth theory (2): Slow model and Endogenous growth model, |
| 4 | Inequality and development (1): Basic concepts |
| 5 | Inequality and development (2): Measurement and applications |
| 6 | Poverty and development (1): Basic concepts |
| 7 | Poverty and development (2): Measurement and applications |
| 8 | Decomposition in inequality and poverty (1): A Priori approach |
| 9 | Decomposition in inequality and poverty (2): Explanatory approach |
| 10 | Causal inference analysis (1): Review of probability |
| 11 | Causal inference analysis (2): Potential outcomes casual model |
| 12 | Causal inference analysis (3): Regression analysis |
| 13 | Causal inference analysis (4): Matching |
| 14 | Presentations of research assignment and wrap-up session |
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
Completing the assigned readings before each class session is essential.
Topic-specific homework assignments will be provided accordingly.
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 平常点 (In-class Points) | 100 |
Class participation and discussion(20%) Homework assignment (40%) Final research presentation (15%) Term paper(25%) |
| 備考 (Notes) | ||
| No | 著者名 (Author/Editor) | 書籍名 (Title) | 出版社 (Publisher) | 出版年 (Date) | ISBN/ISSN |
|---|---|---|---|---|---|
| 1 | Todaro M. P. and Stephen S. | Economic Development 12th edition | Pearson | 2014 | 1292002972 |
| 2 | Mehmetoglu M., and Jakobsen G.T. | Applied Statistics Using Stata: A Guide for the Social Sciences Seventh edition | SAGE Publications | 2022 | 9781529742565 |
| 3 | Cunningham S | Causal Inference: The Mixtape. | Yale University Press | 2021 | 0300251688 |
| 4 | Haughton J. and Khandker S. R, | Handbook on poverty + inequality | The World bank | 2009 | 003103 |
| 5 | Janvry A.D. and Elisabeth S. | Development economics : theory and practice | Routledge | 2021 | 9780367456474 |
| No | 著者名 (Author/Editor) | 書籍名 (Title) | 出版社 (Publisher) | 出版年 (Date) | ISBN/ISSN |
|---|---|---|---|---|---|
| 1 | Ray D. | Development Economics First edition | Princeton University Press | 1988 | 0691017069 |
| 2 | Basu K. | Analytical Development Economics | MIT Press | 2003 | 0262523442 |
| 3 | Schaffner J. | Development Economics: Theory, Empirical Research, and Policy Analysis | Wiley | 2013 | 0470599391 |
Completion of Statistics for Economics and Management (KT221) or an equivalent academic background is required.
Stata programming skills are also a prerequisite.
This graduate-level course involves technical content that requires foundational knowledge of statistics, microeconomics, and macroeconomics.
It has proven demanding for many non-MPMA students; prospective participants should carefully assess their preparedness and commitment.
Undergraduate exchange students are not eligible to enroll.