日本語

Course Code etc
Academic Year 2024
College Graduate School of Business
Course Code KT471
Theme・Subtitle To develop the students’ analytical skills necessary for the master desertions, studying the fundamental theories of development economics.
Class Format Face to face (all classes are face-to-face)
Class Format (Supplementary Items)
Campus Lecture
Campus Ikebukuro
Semester Spring Semester
DayPeriod・Room Tue.3・6203
Credit 2
Course Number MIB6211
Language English
Class Registration Method Course Code Registration
Grade (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。
prerequisite regulations
Acceptance 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。
course cancellation -(履修中止制度なし/ No system for cancellation)
Online Classes Subject to 60-Credit Upper Limit
Relationship 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。
Notes
Text Code KT471

【Course Objectives】

This course equips students with the various fundamental theories of development economics that presents a picture of how theory relates to the actual problems in the developing nations. The ultimate goal of this course is to expand the students’ analytical frameworks for the master desertions.

【Course Contents】

Development economics is a branch of economics that deals with the economic aspects of the development process in low-income countries and covers various policy issues such as economic growth, poverty, inequality, education, fertility, urbanization, rural stagnation, environmental decay, trade, investment, government role in the market economy, development aid, and so on. The social and political factors of development economics frequently play more significant roles in its analysis than those of other branches of economics.
Due to time constraints, this course covers key empirical research and policy debates on income growth and distribution, with a special emphasis on statistical causal inference in development economics. Through computer workshops, students acquire basic empirical analysis skills using the widely used statistical analysis software "Stata".

※Please refer to Japanese Page for details including evaluations, textbooks and others.