Course Overview

In this class, students will learn impact evaluation methods using data. This class will begin with learning how to set evaluation questions and move on to quantitative analysis. Regarding evaluation methodologies, students will learn: causal inference and counterfactuals, randomized selection methods, regression discontinuity design, difference-in-differences, and matching. Students will be given homework and assignments to advance their understanding and research skills.

Learning Achievement

1. Operationalizing the impact evaluation design
2. Choosing the samples for evaluation
3. Making own research questions-Hypothesis
4.~6. Conducting policy evaluations – preliminary analysis
7. Presentation of the results of preliminary analysis
8. ~9. Modification of the preliminary analysis
10. Final presentation

Competence

1. General-propose competence: communicative ability, team work.
2. Degree program competence: research capability, professional knowledge, ethics.

Course prerequisites

Students are required to take ‘Policy Evaluation A’.

Grading Philosophy

Homework and assignments (50%)
Final exam (50%)

Course schedule

Course type

Class Exercises

Online Course Requirement

Instructor

Matsushima Midori

Other information

Open in even number years.
Identical to 01DF652.
Lecture is conducted in English.
授業形式はシラバスの「その他」欄で確認してください。 Students are expected to come every class.
This class will be conducted as face-to-face.

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