2019 Methodology of Political Science and Economics II

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Academic unit or major
Graduate major in Technology and Innovation Management
Goto Mika  Ikegami Masako 
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Course description and aims

This course explains basic theory in economics from a perspective of empirical study using various economic and firms' data. Through the data processing and empirical applications, students can develop capability to apply econometrics method to data and properly understand the results based on economic theory.

Student learning outcomes

This course aims to achieve:
(1) Understand basic economic theory
(2) Learn how to apply quantitative methods to economic and firms' data
(3) Understand how to comprehend results obtained from empirical study


Economic data, Firms' data, quantitative analysis, econometrics

Competencies that will be developed

Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow

Students learn basic economics theory and how to apply it to data on economy and firms. They discuss proper implications drawn from the results.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Introduction, Basic econometrics Introduction to basic econometrics
Class 2 Basic econometrics I Understand basic econometrics
Class 3 Basic econometrics II Understand basic econometrics
Class 4 Empirical study example Understand empirical study example
Class 5 Advanced estimation methods Understand advanced estimation methods
Class 6 Panel data estimation Understand panel data estimation
Class 7 Group presentation and discussion Presentation and discussion
Class 8 Group presentation and discussion Presentation and discussion


None specified

Reference books, course materials, etc.

Specified in the class.

Assessment criteria and methods

Assessment is based on class participation and final report.

Related courses

  • TIM.C512 : Energy Technology and Social System I
  • TIM.C513 : Energy Technology and Social System II

Prerequisites (i.e., required knowledge, skills, courses, etc.)

None specified

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