| Academic Year |
2024Year |
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 |
WMH00601 |
Subject Classification |
Specialized Education |
| Subject Name |
Applied Econometrics I |
Subject Name
（Katakana） |
カイハツケイリョウケイザイガク I |
Subject Name in
English |
Applied Econometrics I |
| Instructor |
GOTO DAISAKU,YOSHIDA YUICHIRO,KHAN GHULAM DASTGIR,SAIJO HARUNOBU,CARO-BURNETT JOHANN |
Instructor
(Katakana) |
ゴトウ ダイサク,ヨシダ ユウイチロウ,ハーン グラム ダスタギール,サイジョウ ハルノブ,カロ バーネット ヨハン |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, First Semester, 1Term |
| Days, Periods, and Classrooms |
(1T) Tues7-10：IDEC Large Conference Rm |
| 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. |