WMH00601 Applied Econometrics I

Hiroshima University Syllabus

Japanese

Academic Year 2025Year 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 開発計量経済学 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 MITCHELL AUSTIN MICHAEL

Instructor
(Katakana) ミッチェル　オースティン　マイケル

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) Face-to-face

Credits 2.0 Class Hours/Week 4 Language of Instruction E : English

Course Level 5 : Graduate Basic

Course Area（Area） 24 : Social Sciences

Course Area（Discipline） 03 : Economics

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 This course is the first of two in a basic introduction to applied econometrics using causal inference methods. Students will become familiar with how to apply quantitative analyses to obtain treatment effects for different types of data. Each class consists of lectures, discussions of relevant literature, and in-class labs. Assignments include group-based homework and a final examination. We will learn how to use both Stata and R to conduct the analyses.

Class Schedule Class 1: Basics of econometrics

Class 2: Applied research designs

Class 3: Random control trials

Class 4: Survey experiments

Class 5: Intention to treat and random encouragement designs

Class 6: Random discontinuity designs

Class 7: Fuzzy RDD, doughnut RDD, and kink regression

Class 8 Examination

Text/Reference
Books,etc. Required readings:
The instructor will assign and distribute articles and book chapters as required readings for in-class discussions.

Supplemental readings:
Cunningham, Scott. The Causal Inference Mixtape. (Free online version).
https://mixtape.scunning.com/

Introduction to Causal Inference Bootcamp. (Youtube videos).
https://www.youtube.com/playlist?list=PL1M5TsfDV6Vufqfs_h5fDR3pBhIj4QOW7

PC or AV used in
Class,etc.

(More Details)

Learning techniques to be incorporated

Suggestions on
Preparation and
Review Students should have completed Arts and Sciences of Evidence-based Decision-making, but this is not a necessary prerequisite.

Requirements

Grading Method UCTS

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.

Academic Year	2025Year	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	開発計量経済学 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	MITCHELL AUSTIN MICHAEL
Instructor (Katakana)	ミッチェル　オースティン　マイケル
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)	Face-to-face

Credits	2.0	Class Hours/Week	4	Language of Instruction	E : English
Course Level	5 : Graduate Basic
Course Area（Area）	24 : Social Sciences
Course Area（Discipline）	03 : Economics
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	This course is the first of two in a basic introduction to applied econometrics using causal inference methods. Students will become familiar with how to apply quantitative analyses to obtain treatment effects for different types of data. Each class consists of lectures, discussions of relevant literature, and in-class labs. Assignments include group-based homework and a final examination. We will learn how to use both Stata and R to conduct the analyses.
Class Schedule	Class 1: Basics of econometrics Class 2: Applied research designs Class 3: Random control trials Class 4: Survey experiments Class 5: Intention to treat and random encouragement designs Class 6: Random discontinuity designs Class 7: Fuzzy RDD, doughnut RDD, and kink regression Class 8 Examination
Text/Reference Books,etc.	Required readings: The instructor will assign and distribute articles and book chapters as required readings for in-class discussions. Supplemental readings: Cunningham, Scott. The Causal Inference Mixtape. (Free online version). https://mixtape.scunning.com/ Introduction to Causal Inference Bootcamp. (Youtube videos). https://www.youtube.com/playlist?list=PL1M5TsfDV6Vufqfs_h5fDR3pBhIj4QOW7
PC or AV used in Class,etc.
(More Details)
Learning techniques to be incorporated
Suggestions on Preparation and Review	Students should have completed Arts and Sciences of Evidence-based Decision-making, but this is not a necessary prerequisite.
Requirements
Grading Method	UCTS
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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