シラバス参照

開講年度(Academic Year) 2021 
科目コード/科目名
(Course Code / Course Title)
KT411/Development Planning 
テーマ/サブタイトル等
(Theme / Subtitle)
Quantitative method for policy analysis 
担当者 (Instructor) 片岡 光彦(KATAOKA MITSUHIKO) 
時間割 (Class Schedule) 春学期1 (Spring Semester 1) 水曜日(Wed) 4時限(Period 4) 6303(Room)
春学期1 (Spring Semester 1) 水曜日(Wed) 5時限(Period 5) 6303(Room)
単位 (Credit) 2単位(2 Credits) 
科目ナンバリング
(Course Number)
MIB6211 
使用言語
(Language)
英語
(English) 
備考 (Notes) The first class will be held online. The URL for the first class will be posted on Blackboard, so be sure to check it beforehand. 
テキスト用コード (Text Code) KT411 



授業の
目標
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).

 
 
授業の
内容
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.




 
 
授業計画
Course
Schedule
1. Course Introduction 
2. Economic Development and Planning in Japan  
3. Aggregate Growth Model I: System of national accounts and Harrod Domer Model 
4. Aggregate Growth Model II: Cobb-Douglas type production function and Simultaneous equation model 
5. IO models and analyses: Basic assumptions and formulation 
6. IO models and analyses: Accounting for imports / Multiplier analyses 
7. IO models: Inter-industrial linkage analysis 
8. IO Models: Sources of economic growth 
9. IO Models: Stata application  
10. Analysis of Regional Structure and growth: Location quotient and shift-share analysis 
11. Data Envelopment Analysis I: Basic concept 
12. Data Envelopment Analysis II: Reference set, returns of scale, decomposition analysis  
13. Data Envelopment Analysis III: Productivity growth and Malmquist index 
14. Student’s presentation 
授業時間外
(予習・復習
等)の学習
Study
Required
Outside
of Class
This course provides students to the practice of data analysis with a statistical software “Stata”. Please prepare Stata by him/herself as Stata crop offers the short-term license at very affordable student prices. In addition, 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(35%) 、Presentation(20%) 、Research Paper(35%) 、Class Participation (constructive)(10%)
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  149297479X 
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 
その他(Others)
参考文献
Readings
その他
(HP等)
Others
(e.g. HP)
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
 


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