日本語

Course Code etc
Academic Year 2023
College Graduate School of Business
Course Code KT411
Theme・Subtitle Quantitative method for policy analysis
Class Format Face-to-face (partially online)
Class Format (Supplementary Items)
Campus
Campus Ikebukuro
Semester Spring Semester1
DayPeriod・Room Wed.3 , Wed.4
ログインして教室を表示する(Log in to view the classrooms.)
Credits 2
Course Number MIB6211
Language English
Class Registration Method Course Code Registration
Assigned 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。
Prerequisite Regulations
Acceptance of Other Colleges
Course Cancellation
Online Classes Subject to 60-Credit Upper Limit
Relationship with Degree Policy
Notes

【Course Objectives】

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).

【Course Contents】

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.

Japanese Items

【授業計画 / Course Schedule】

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

【活用される授業方法 / Teaching Methods Used】

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

【授業時間外(予習・復習等)の学修 / Study Required Outside of Class】

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/

【成績評価方法・基準 / Evaluation】

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)

【テキスト / Textbooks】

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

【参考文献 / Readings】

【履修にあたって求められる能力 / Abilities Required to Take the Course】

【学生が準備すべき機器等 / Equipment, etc., that Students Should Prepare】

【その他 / Others】

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.

【注意事項 / Notice】