CLASS

The main lectures that I am in charge of are listed below.

For details (syllabus), please click here.

Applied Econometrics

In an increasingly complex information society, decision-making in business and production management must be based on “quantitative” and “objective” evaluation criteria that do not rely on intuition or experience.

In this course, students learn about “data envelopment analysis,” a method for quantitatively and relatively evaluating the efficiency of production activities, and related statistical methods, and develop the ability to discuss from a fact-based and multifaceted perspective.

The following are the specific contents of the course.

No. of Class	Class Topics	Contents
1	Introduction	Understand the objectives of data envelopment analysis and the importance of objective decision making based on quantitative data.
2	Linear Programming Problem	Understand the graphical solution of linear programming problems.
3	Dual Problem (Basic)	Understand the basic derivation of the dual problem.
4	Implementation of the Simplex Method	Understand how to solve linear programming problems using the Excel solver.
5	Ratio and Multiplier Forms	Understand the ratio and multiplier formulations of data envelopment analysis.
6	Ratio and Multiplier Forms	Implement a basic model of data envelopment analysis (multiplier form) using the Excel solver.
7	Envelope Forms and Reference Sets	Understand the envelope formulation of data envelopment analysis and the reference set.
8	Envelope Forms and Reference Sets	Implement the data envelopment analysis model in envelope form using the Excel solver.
9	Input and Output Orientation	Understand the difference between input-oriented and output-oriented models of data envelopment analysis.
10	Input and Output Orientation	Implement input-oriented and output-oriented models of data envelopment analysis using the Excel solvers.
11	Binomial Test	Understand the procedures for statistical hypothesis testing using the binomial test as an example.
12	Student’s t-test	Understand the Student’s t-test, a parametric test.
13	Mann-Whitney U-test	Understand the Mann-Whitney U-test, a nonparametric test.
14	Kruskal-Wallis H-test	Understand the Kruskal-Wallis H-test, a nonparametric test.
15	Final exam	The final exam will be given.

Note: The class content is subject to change depending on progress and the academic year.
Note: This class is given in Japanese.

The reference books are as follows:

Wade D. Cook and Joe Zhu (translated by Hiroshi Morita), Data Envelopment Analysis DEA, Shizuoka Academic Press

Note: Purchase of this textbook is not required.

Advanced Applied Econometrics (Graduate)

Advanced Applied Econometrics covers more advanced material than the undergraduate course Applied Econometrics.

Specific course content is as follows:

No. of Class	Class Topics	Contents
1	Introduction	Understand the objectives of data envelopment analysis and the importance of objective decision making based on quantitative data.
2	Linear Programming Problem	Understand the graphical solution of linear programming problems.
3	Simplex Method	Understand the basics of the simplex method and four special cases.
4	Dual Problem (Basic)	Understand the basic derivation of the dual problem.
5	Dual Problem (Advanced)	Understand how to derive the dual problem via the Lagrangian relaxation problem.
6	Implementation of the Simplex Method	Understand how to solve linear programming problems using the Excel solver.
7	Ratio and Multiplier Forms	Understand the ratio and multiplier formulations of data envelopment analysis.
8	Ratio and Multiplier Forms	Implement a basic model of data envelopment analysis (multiplier form) using the Excel solver.
9	Envelope Forms and Reference Sets	Understand the envelope formulation of data envelopment analysis and the reference set.
10	Envelope Forms and Reference Sets	Implement the data envelopment analysis model in envelope form using the Excel solver.
11	Input and Output Orientation	Understand the difference between input-oriented and output-oriented models of data envelopment analysis.
12	Input and Output Orientation	Implement input-oriented and output-oriented models of data envelopment analysis using the Excel solvers.
13	Constant and Variable Returns to Scale	Understand the difference between the Constant Returns to Scale model and the Variable Returns to Scale model of data envelopment analysis.
14	Constant and Variable Returns to Scale	Implement the Constant Returns to Scale and Variable Returns to Scale models of data envelopment analysis using the Excel solver.
15	Class Summary and Final Report	Summarize the contents of the course so far and explain the key points of the final report.

Seminar in Economics and Business Administration (seminar for 3rd and 4th year undergraduates)

The seminar focuses on the “sustainability” of producers (or consumers), an important stakeholder in the economy.

Specifically, in the first semester of the third year, students learn basic knowledge of environmental economics (or resource and energy economics) and econometrics through group readings.

One of the following texts will be used in the seminar:

Environmental Economics, 4th Edition (by Koichi Kuriyama and Shunsuke Managi), Yuhikaku

First Steps in Environmental Economics (by Ayumi Onuma and Takahiro Tsuge), Yuhikaku Studia

From the second semester of the third year, each student will decide on a research topic of interest and conduct empirical data analysis using Excel and statistical software based on questionnaires and public data sources. There is no problem at all if you are not comfortable with econometrics or PC skills. We will support you accordingly.

In addition, through daily presentations, question-and-answer sessions, field activities, etc., we aim to cultivate the following four abilities:

1. Analysis: The ability to find issues to be solved;
2. Thinking: the ability to think of ways to solve issues;
3. Execution: the ability to actually work on solving issues;
4. Communication: the ability to communicate the process of solving issues

In addition, the individual learning objectives are as follows:

1. To understand social issues from multiple perspectives, including social, environmental, and economic perspectives;
2. To evaluate social issues objectively and quantitatively through data analysis.

Basic Exercises in Economics and Business Administration (for 2nd year undergraduates)

Environmental economics is the study of exploring the economic causes behind various environmental problems in society and proposing solutions.

The main goal of this course is to provide students with basic knowledge of environmental economics using an introductory textbook, and to enable them to apply this knowledge to their individual research from the third year onward.

At the same time, students will develop important skills such as the ability to communicate information and explore issues by preparing presentations and answering questions.

The following texts were used for reading in class this semester:

Core Textbook Environmental Economics (by Seiji Kadai), Shinsei-sha Co.