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 & Paper assignment
2 Lecture: How to search for academic papers?
3 Core paper: Goldfarb et al. (2022).
4 Paper #1: Difference-in-differences
5 Discussion about paper #1
6 Paper #2: Regression discontinuity
7 Discussion about paper #2
8 Paper #3: Instrumental variables
9 Discussion about paper #3
10 Paper #4: Propensity score matching
11 Discussion about paper #4
12 Paper #5: Synthetic control
13 Discussion about paper #5
14 Paper #6: Selection bias correction
15 Discussion about paper #6 |
|
|
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 (30%)
・Presentation (20-30%)
・Biweekly take-home assignments (40%)
・Final report (if necessary, 10%)
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 paper 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
The instructor will assign papers to be read in the 1st class.
Papers will be chosen from the references of the paper below:
Goldfarb, A., Tucker, C., & Wang, Y. (2022). Conducting Research in Marketing with Quasi-Experiments. Journal of Marketing, 86(3), 1–20.
■ Reference
Charles S. Reichardt (2019). Quasi-Experimentation: A Guide to Design and Analysis. The Guilford Press. |
|
|
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. |
|
|
注意事項 Notice for Students | | This course will be taught primarily in English (Japanese will be used for auxiliary purposes). |
|
|
授業開講形態等 Lecture format, etc. | | |
|
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) | | |
|
質問への対応方法 Office hour | | By appointment (Contact us by email or message on TACT). |
|
|