日本語 English
| 開講年度/ Academic YearAcademic Year |
20232023 |
| 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 |
KT411/KT411KT411 |
| 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（一部オンライン）/Face-to-face (partially online)Face-to-face (partially online) |
| 授業形態（補足事項）/ Class Format (Supplementary Items)Class Format (Supplementary Items) |
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| 授業形式/ Class StyleCampus |
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| 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 |
水3･6302/Wed.3･6302 Wed.3･6302, 水4･6302/Wed.4･6302, Wed.4･6302 |
| 単位/ CreditCredit |
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/ Grade (Year) RequiredGrade (Year) Required |
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 |
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| 他学部履修可否/ Acceptance of Other CollegesAcceptance of Other Colleges |
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| 履修中止可否/ course cancellationcourse cancellation |
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| 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 |
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| 学位授与方針との関連/ Relationship with Degree PolicyRelationship with Degree Policy |
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| 備考/ NotesNotes |
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| テキスト用コード/ Text CodeText Code |
KT411 |
This seven–week intensive course introduces several fundamental quantitative techniques and econometric models, essential for development planning and policy analysis in developing as well as developed economies. Topics covered in this course include the development planning process in Japan, the simple aggregate growth models, the multi-sector model (national and regional input-output models), shift-share analysis, the non-parametric frontier analysis model (Data Envelopment Analysis).
This course provides students with fundamental framework of the empirical economic analysis at the macro-level, sectoral-level, and the firm-level, associated with the process of development planning in Japan.
This course also provides students with fundamental skills of empirical analysis through the computer workshop, using the widely software applications of statistical analysis “Stata”. The basic programming skills of Stata are prerequisite for this course.
※Please refer to Japanese Page for details including evaluations, textbooks and others.
This seven–week intensive course introduces several fundamental quantitative techniques and econometric models, essential for development planning and policy analysis in developing as well as developed economies. Topics covered in this course include the development planning process in Japan, the simple aggregate growth models, the multi-sector model (national and regional input-output models), shift-share analysis, the non-parametric frontier analysis model (Data Envelopment Analysis).
This course provides students with fundamental framework of the empirical economic analysis at the macro-level, sectoral-level, and the firm-level, associated with the process of development planning in Japan.
This course also provides students with fundamental skills of empirical analysis through the computer workshop, using the widely software applications of statistical analysis “Stata”. The basic programming skills of Stata are prerequisite for this course.
| 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 |
| 10 | Data Envelopment Analysis (1): Basic concept |
| 11 | Data Envelopment Analysis (2): Reference set, returns of scale, decomposition analysis |
| 12 | Data Envelopment Analysis (3): Productivity growth and Malmquist index |
| 13 | Data envelopment analysis: Advanced data analysis (Stata, user-written command) |
| 14 | Student’s presentation |
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
This course also provides students to the practice of data analysis with a statistical software “Stata”. For students who are not familiar with the basic programming of Stata, please learn it through Video tutorials: https://www.stata.com/links/video-tutorials/
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 平常点 (In-class Points) | 100 |
Homework Assignments(40%) Presentation(15%) Research Paper(35%) Class Participation (constructive)(10%) |
| 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 |
Since this course is a graduate level course and several parts are very technical, you need to have some understanding of basic mathematics and economics.