学部・大学院区分
Undergraduate / Graduate
経済学部
時間割コード
Registration Code
0403240
科目区分
Course Category
経営学科専門科目
科目名 【日本語】
Course Title
マーケティング特論
科目名 【英語】
Course Title
Advanced Course of Marketing
コースナンバリングコード
Course Numbering Code
担当教員 【日本語】
Instructor
山口 景子 ○
担当教員 【英語】
Instructor
YAMAGUCHI Keiko ○
担当教員所属【日本語】
instructor's belongs
大学院経済学研究科
担当教員所属【英語】
instructor's belongs
Graduate School of Economics
単位数
Credits
2
配当年次
dividend Yearly
3・4年
開講期・開講時間帯
Term / Day / Period
春 火曜日 2時限
Spring Tue 2
授業形態
Course style
講義
Lecture


授業の目的 【日本語】
Goals of the Course(JPN)
この講義では,マーケティング分野の実証研究を計画・実施するために必要な調査計画と統計分析の知識を学ぶことを通して,学生のみなさんが先端研究を理解し,学んだ学術的な手法をご自身の研究に適用する能力を育むことを目的としています。
この講義は,大学院との合同開講科目です。大学院生への学びの提供を主眼におき,マーケティング・サイエンス分野での学術論文執筆を考えている学生向けにデザインされています。
授業の目的 【英語】
Goals of the Course
This course aims to introduce advanced knowledge about experimental/research designs and statistical methods to plan empirical analyses of marketing, encourage students to understand the cutting-edge research topics in this field, and apply the methodologies they learn to their research in graduate school.
This course is designed for students who seek to conduct original research in the field of marketing science.
到達目標 【日本語】
Objectives of the Course(JPN)
The goals of this course are the following:
・Students become able to choose/read appropriate academic papers/books about marketing science on their own.
・Students will be ready to plan their original research in the social science field based on the knowledge they earn in the class.
授業の内容や構成
Course Content / Plan
1 Introduction & Chapter assignment
2 Chapter 1: Introduction
3 Chapter 2: Causal Inference and Experimentation
4 Chapter 3: Sampling Distributions, Statistical Inference, and Hypothesis Testing
5 Chapter 4: Using Covariates in Experimental Design and Analysis
6 Chapter 5: One-Sided Noncompliance
7 Chapter 6: Two-Sided Noncompliance
8 Chapter 7: Attrition
9 Chapter 8: Interference between Experimental Units
10 Chapter 9: Heterogeneous Treatment Effects
11 Chapter 10: Mediation
12 Chapter 11: Integration of Research Findings
13 Chapter 12: Instructive Examples of Experimental Design
14 Chapter 13: Writing a Proposal, Research Report, and Journal Article
15 Summary
履修条件・関連する科目
Course Prerequisites and Related Courses
There is no prerequisite for enrolling in this class. However, basic knowledge about marketing, mathematics, econometrics, and statistics is required to understand the contents provided in this class.
Students who skip the 1st class without prior approval by the instructor are NOT accepted.
成績評価の方法と基準
Course Evaluation Method and Criteria
Your final grade will be calculated according to the following process:
・Class attendance and contribution to the in-class discussion (20%)
・Presentation (20%)
・Weekly take-home assignments (40%)
・Final report (20%)

The requirements for passing the course are as follows:
・You can join in-class discussions with your original ideas.
・You can summarize the contents in the textbook precisely and illustrate them to the audience clearly.
・You can propose constructive ideas to develop their understanding of the experimental/research designs and analytical methods and make their research plans.

※ If you are absent from this class more than four times, you will get an "F" automatically.
※ 本講義では,履修取り下げ制度を採用します。
教科書・参考書
Textbook/Reference Book
■ Textbook
Gerber, A. S., and Green, D. P. (2012). Field Experiments: Design, Analysis, and Interpretation. W W Norton & Co Inc.

■ Reference
Will be introduced as necessary.
課外学習等(授業時間外学習の指示)
Study Load(Self-directed Learning Outside Course Hours)
All participants are expected to spend enough time on the required readings, presentation preparations, take-home assignments, and other learning activities before attending the class.
注意事項
Notice for Students
This course will be taught in Japanese or English (depending on the communication level of the participants.)
授業開講形態等
Lecture format, etc.
教育レベルが1以下の場合、原則として対⾯授業とする。ただし、対⾯授業を希望しない学生には遠隔(同時双⽅向型またはオンデマンド型)でも受講できるよう、「対面・遠隔(同時双⽅向型またはオンデマンド型)の併⽤」とする。遠隔はNUCT等で行う。なお、オンデマンド型の場合、教員への質問および授業に関する受講学⽣間の意⾒交換は、NUCT機能「メッセージ」により⾏うこと。
※履修登録後(本通知以後)に授業形態等に変更がある場合には、NUCTの授業サイトで案内します。
遠隔授業(オンデマンド型)で行う場合の追加措置
Additional measures for remote class (on-demand class)