日本語 English
| 開講年度/ Academic YearAcademic Year |
20262026 |
| 科目設置学部/ CollegeCollege |
社会デザイン研究科（MSDA）/Graduate School of Social Design Studies (MSDA)Graduate School of Social Design Studies (MSDA) |
| 科目コード等/ Course CodeCourse Code |
VP372/VP372VP372 |
| テーマ・サブタイトル等/ Theme・SubtitleTheme・Subtitle |
Quantitative method for policy analysis |
| 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1/Spring Semester1Spring Semester1 |
| 曜日時限・教室/ DayPeriod・RoomDayPeriod・Room |
火3/Tue.3 Tue.3 , 火4/Tue.4, Tue.4 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 |
SDM6211 |
| 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/sd.html |
| 備考/ NotesNotes |
This intensive seven-week course introduces core quantitative techniques and econometric models commonly used in development planning and policy analysis. Topics include the development planning process, macroeconomic modeling, multi-sector output models (national and regional input-output models), and non-parametric frontier analysis (Data Envelopment Analysis). These analytical tools support performance evaluation at the national, sectoral, and firm/project levels.
This course equips students with a foundational understanding of empirical economic analysis, essential for development planning and policy evaluation.
Using Stata, a widely adopted software tool, students gain practical skills in data analysis across multiple scales, fostering a solid grasp of the development planning process.
| 1 | Course Introduction |
| 2 | Economic Development and Planning in Japan |
| 3 | Aggregate Growth Model (1): Demand-side model |
| 4 | Aggregate Growth Model (2): Supply-side model |
| 5 | IO models and analyses (1): Basic assumptions and formulation |
| 6 | IO models and analyses (2): Basic assumptions and formulation |
| 7 | IO models and analyses: Accounting for imports |
| 8 | IO models and analyses: Index of the Power (Sensitivity ) of Dispersion and Sources of Economic Growth |
| 9 | IO Models: Stata application (1) |
| 10 | IO Models: Stata application (2) |
| 11 | Data Envelopment Analysis (1): Basic concept, reference set, returns of scale |
| 12 | Data Envelopment Analysis (2): Productivity growth and Malmquist index |
| 13 | Students' presentation |
| 14 | 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
Students are responsible for the lecture materials and the required readings for each session.
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 平常点 (In-class Points) | 100 |
Homework assignments(40%) Final research presentation(15%) Final research paper(25%) Class participation and discussion (20%) |
| 備考 (Notes) | ||
| No | 著者名 (Author/Editor) | 書籍名 (Title) | 出版社 (Publisher) | 出版年 (Date) | ISBN/ISSN |
|---|---|---|---|---|---|
| 1 | Miller R. E., and P. Blair | Input-Output Analysis: Foundations and Extensions, 2nd edition | Cambridge University Press | 2009 | 0521739020 |
| 2 | Zhu J., and W. Cook | Data Envelopment Analysis: Balanced Benchmarking | Lexington | 2013 | 149297479 |
| 3 | Coelli T.J., R. Prasada, G. E. Battese | An introduction to efficiency and productivity analysis 2nd edition | Kluwer Academic Publishers | 2005 | 0387242651 |
| 4 | Perkins et al | Economics of Development 7th edition | W. W. Norton & Company | 2012 | 0393114953 |
| 5 | Leontief W. | Input-Output Economics 2nd edition | Oxford University Press. | 1986 | 0195035259 |
Completion of Statistics for Economics and Management (KT221) or an equivalent academic background is required.
Proficiency in Stata programming is 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 intensive seven-week course introduces core quantitative techniques and econometric models commonly used in development planning and policy analysis. Topics include the development planning process, macroeconomic modeling, multi-sector output models (national and regional input-output models), and non-parametric frontier analysis (Data Envelopment Analysis). These analytical tools support performance evaluation at the national, sectoral, and firm/project levels.
This course equips students with a foundational understanding of empirical economic analysis, essential for development planning and policy evaluation.
Using Stata, a widely adopted software tool, students gain practical skills in data analysis across multiple scales, fostering a solid grasp of the development planning process.
| 1 | Course Introduction |
| 2 | Economic Development and Planning in Japan |
| 3 | Aggregate Growth Model (1): Demand-side model |
| 4 | Aggregate Growth Model (2): Supply-side model |
| 5 | IO models and analyses (1): Basic assumptions and formulation |
| 6 | IO models and analyses (2): Basic assumptions and formulation |
| 7 | IO models and analyses: Accounting for imports |
| 8 | IO models and analyses: Index of the Power (Sensitivity ) of Dispersion and Sources of Economic Growth |
| 9 | IO Models: Stata application (1) |
| 10 | IO Models: Stata application (2) |
| 11 | Data Envelopment Analysis (1): Basic concept, reference set, returns of scale |
| 12 | Data Envelopment Analysis (2): Productivity growth and Malmquist index |
| 13 | Students' presentation |
| 14 | 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
Students are responsible for the lecture materials and the required readings for each session.
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 平常点 (In-class Points) | 100 |
Homework assignments(40%) Final research presentation(15%) Final research paper(25%) Class participation and discussion (20%) |
| 備考 (Notes) | ||
| No | 著者名 (Author/Editor) | 書籍名 (Title) | 出版社 (Publisher) | 出版年 (Date) | ISBN/ISSN |
|---|---|---|---|---|---|
| 1 | Miller R. E., and P. Blair | Input-Output Analysis: Foundations and Extensions, 2nd edition | Cambridge University Press | 2009 | 0521739020 |
| 2 | Zhu J., and W. Cook | Data Envelopment Analysis: Balanced Benchmarking | Lexington | 2013 | 149297479 |
| 3 | Coelli T.J., R. Prasada, G. E. Battese | An introduction to efficiency and productivity analysis 2nd edition | Kluwer Academic Publishers | 2005 | 0387242651 |
| 4 | Perkins et al | Economics of Development 7th edition | W. W. Norton & Company | 2012 | 0393114953 |
| 5 | Leontief W. | Input-Output Economics 2nd edition | Oxford University Press. | 1986 | 0195035259 |
Completion of Statistics for Economics and Management (KT221) or an equivalent academic background is required.
Proficiency in Stata programming is 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.