Hiroshima University Syllabus

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Japanese
Academic Year 2023Year School/Graduate School Graduate School of Humanities and Social Sciences (Master's Course) Division of Humanities and Social Sciences International Economic Development Program
Lecture Code WMH00701 Subject Classification Specialized Education
Subject Name Applied Econometrics II
Subject Name
(Katakana)
カイハツケイリョウケイザイガク II
Subject Name in
English
Applied Econometrics II
Instructor GOTO DAISAKU,YOSHIDA YUICHIRO,TRAN ANH DUC,KHAN GHULAM DASTGIR,CARO-BURNETT JOHANN
Instructor
(Katakana)
ゴトウ ダイサク,ヨシダ ユウイチロウ,チャン アン ダック,ハーン グラム ダスタギール,カロ バーネット ヨハン
Campus Higashi-Hiroshima Semester/Term 1st-Year,  First Semester,  2Term
Days, Periods, and Classrooms (2T) Tues7-10:IDEC 204
Lesson Style Lecture Lesson Style
(More Details)
 
 
Credits 2.0 Class Hours/Week   Language of Instruction E : English
Course Level 6 : Graduate Advanced
Course Area(Area) 21 : Fundamental Competencies for Working Persons
Course Area(Discipline) 06 : Globalization/International cooperation studies
Eligible Students
Keywords  
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students)
 
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students)
 
Class Objectives
/Class Outline
To have opportunities of discussions to develop master and PhD research projects in applied econometric studies such as policy impact evaluations, the lecture is organized as follows. In each class, students will present their own research projects or any related researches in the literature. Then discussions follows with registered students of this class and various professors. The course requires basic understanding of the causal inference, and for Smart Society school students, Arts and Science of Evidence-Based Decision Making course is a prerequisite. 
Class Schedule lesson1: Presentation and Q&A
lesson2: Presentation and Q&A
lesson3: Presentation and Q&A
lesson4: Presentation and Q&A
lesson5: Presentation and Q&A
lesson6: Presentation and Q&A
lesson7: Presentation and Q&A
lesson8: Presentation and Q&A
lesson9: Presentation and Q&A
lesson10: Presentation and Q&A
lesson11: Presentation and Q&A
lesson12: Presentation and Q&A
lesson13: Presentation and Q&A
lesson14: Presentation and Q&A
lesson15: Presentation and Q&A 
Text/Reference
Books,etc.

• Angrist, Joshua D. , and Jörn-Steffen Pischke. Mastering 'metrics: The path from cause to effect. Princeton university press, 2014.

• Angrist, Joshua D. , and Jörn-Steffen Pischke. Mostly harmless econometrics: An empiricist's companion. Princeton university press, 2009.

• Huntington-Klein, N. (2022). The effect: An introduction to research design and causality. Chapman and Hall/CRC.
 
PC or AV used in
Class,etc.
 
(More Details) computer and projector 
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
Please watch the following YouTube videos for a review of causal inference:

Mod•U: Powerful Concepts in Social Science

Causal Inference Bootcamp: Introduction to Causality
https://www.youtube.com/watch? v=FNpcwiOme1g&list=PL1M5TsfDV6Vufqfs_h5fDR3pBhIj4QOW7

Causal Inference Bootcamp: Your Guide to Experiments
https://www.youtube.com/watch?v=S5TVIPknDI4&list=PL1M5TsfDV6Vui- q_q1Bq5kF2Y77udGwWx

Causal Inference Bootcamp: Your Guide to Instrumental Variables https://www.youtube.com/watch? v=4xF_DMbL14w&list=PL1M5TsfDV6VsE11CCeMuBL0owBpwp4xru 
Requirements  
Grading Method contribution to the discussion
 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Message  
Other   
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. 
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