講義名 経済特殊講義Ⅲ(Economic StatisticsⅡ(英)) ≪◇学部≫
講義開講時期 後期
曜日・時限 火4
単位数 2

担当教員
氏名
川﨑 茂

学習目標(到達目標) This course aims to enable students to use and interpret economic statistics properly and to explain current economic phenomena using data analysis on PCs. The second semester covers mainly macro-economic aspects.
この科目では,学生がPCを用いて経済統計を適切に分析・解釈し、現代の経済現象を英語で説明する能力を修得することを目標とします。
対応DP・CP:1,2,3,4,5,8
授業概要(教育目的) The lecture focuses on appropriate use of data sources and statistical methods. Exercises based on real examples are given, and students are to apply the methods and to learn how to interpret the results.
講義では統計の使い方について解説を行い、実例に基づく演習を行い、分析・解釈の方法を学びます。
授業計画表
 
項目内容
第1回Introduction
Outline of the course will be given. Students will study basic framework of macro economic statistics.
Prior learning (2 hours): Review the results of the first semester exam. Read the material posted on EcoLink.
Subsequent learning (2 hours): Complete today's assignments.
第2回National Accounts Statistics (1)
Framework of national accounts statistics will be explained. Exercises on basic concepts of accounting will be given.
Prior learning (2 hours): Read the handouts given in the previous class.
Subsequent learning (2 hours): Complete today's assignments.
第3回National Accounts Statistics (2)
Analysis of economic structure from the viewpoints of industries will be explained. Exercises of statistics from industrial structure will be given.
Prior learning (2 hours): Read the handouts given in the previous class.
Subsequent learning (2 hours): Complete today's assignments.
第4回National Accounts Statistics (3)
Main analytical indicators of national accounts will be explained. Exercises on use of such indicators will be given.
Prior learning (2 hours): Read the handouts given in the previous class.
Subsequent learning (2 hours): Complete today's assignments.
第5回National Accounts Statistics (4)
International comparison of GDP and it breakdowns based on purchasing power parities will be explained. Exercises on interpretation of PPP based statistics will be given.
Prior learning (2 hours): Read the handouts given in the previous class.
Subsequent learning (2 hours): Complete today's assignments.
第6回National Accounts Statistics (5)
Relationship of GDP and other economic statistics will be explained. Exercises will be given for analyzing such relationship.
Prior learning (2 hours): Read the handouts given in the previous class.
Subsequent learning (2 hours): Complete today's assignments.
第7回National Accounts Statistics (6)
Results of the exercises will be discussed.
Prior learning (2 hours): Review the results of the exercises of the previous class.
Subsequent learning (2 hours): Complete today's assignments.
第8回Balance of Payments and Trade Statistics (1)
Framework of balance of payments statistics will be explained. Its relationship with trade statistics will also be explained.
Prior learning (2 hours): Read the handouts given in the previous class.
Subsequent learning (2 hours): Complete today's assignments.
第9回Balance of Payments and Trade Statistics (2)
BOP statistics in relation to trade statistics will be explained. Exercises will bi given on analysis of trade statistics.
Prior learning (2 hours): Read the handouts given in the previous class.
Subsequent learning (2 hours): Complete today's assignments.
第10回Balance of Payments and Trade Statistics (3)
Statistics on foreign direct investment and other statistics related to BOP will be explained. Exercises will be given on analysis of BOP and FDI statistics.
Prior learning (2 hours): Read the handouts given in the previous class.
Subsequent learning (2 hours): Complete today's assignments.
第11回Input-Output Tables (1)
Framework and basic concepts of input-output tables will be explained. Exercises to interpret IOT will be given.
Prior learning (2 hours): Read the handouts given in the previous class.
Subsequent learning (2 hours): Complete today's assignments.
第12回Input-Output Tables (2)
As background knowledge for input-output analysis, basic ideas of linear algebra and matrix operations will be explained. Some exercises will be given.
Prior learning (2 hours): Read the handouts given in the previous class.
Subsequent learning (2 hours): Complete today's assignments.
第13回Input-Output Tables (3)
Derivation and use of Leontief inverse matrix will be explained. Exercises will be given on application of Leontief inverse matrix.
Prior learning (2 hours): Read the handouts given in the previous class.
Subsequent learning (2 hours): Complete today's assignments.
第14回Input-Output Tables (4)Viewpoints of international comparison of input-output tables will be explained. Exercises will be given on such comparisons.
Prior learning (2 hours): Read the handouts given in the previous class.
Subsequent learning (2 hours): Complete today's assignments.
第15回Final Examination and Review
60 minutes for the test + 30 minutes to analyze the test. Concluding remarks will be given.
Prior learning (2 hours): Review the materials and assignments you studied in the semester, and become able to answer questions.
Subsequent learning (2 hours): Review the results of the final exam, and follow up the parts that you didn't understand well.
授業形式 Classes are held in the PC room. Lectures are first given, and students are to solve exercises mainly by Excel.
授業はPC教室で行います。講義のほか課題を出しますので、必ず結果を提出してください。課題に対するフィードバックは授業中に行います。
評価方法
定期試験 レポート 小テスト 授業への
参画度
その他 合計
70% 0% 0% 30% 0% 100%
評価の特記事項 In every class, submit the results of exercises. They will be considered in the assessment.
テキスト Study materials will be distributed in the classroom, and will be posted in the public folder.
参考文献 和文参考図書:中村隆英ほか著『経済統計入門(第2版)』東京大学出版会
オフィスアワー(授業相談) Tuesday, 16:30-18:00. Make an appointment by e-mail or at the time of the class.
事前学習の内容など,学生へのメッセージ School PCs are set up in Japanese. Bring your PC, if you have. Installing Excel is preferred. Previous learning of statistics is not required. Also take Economic Statistics I in the first semester.
初歩の統計学知識は必要ですが、統計科目の事前履修は必須としません。前期のEconomic Statistics Iも履修してください。
参考URL 1 https://databank.worldbank.org/source/world-development-indicators
参考URL 2 https://data.un.org/