講義名 経済特殊講義Ⅲ(EmpiricalAnalysis Method(英)) ≪□第一部≫
講義開講時期 後期
曜日・時限 月6
単位数 2

担当教員
氏名
土屋 陽一

学習目標(到達目標) This course is designed for students who desire to gain skills to handle data using Microsoft Excel. Students will be able to combine basic economic concept and statistical inference methods to estimate the relationship among economic variables using ordinary least squares estimation in Excel.
授業概要(教育目的) In this course, emphasis is placed on the application of linear regression, the use of Excel for statistical analysis, and its data analysis tools for further studies. First-year students are welcome to register with no prerequisites.
授業計画表
 
項目内容
第1回Course introductionUnderstanding an overview of this lecture, guidance and description of the detail of the course
第2回Collecting and processing data with Excel 1Review of data analysis tools in Excel for basic statistical and economic analysis
第3回Collecting and processing data with Excel 2 (Time-series data)Gathering time-series data from the internet, processing, creating graphs, and conducting initial analysis
第4回Collecting and processing data with Excel 3 (Cross-sectional data)Gathering cross-sectional data from the internet, processing, creating graphs, and conducting initial analysis
第5回Collecting and processing data with Excel 4 (Various data)Gathering different data types from the internet (financial, public, labor, trade data), creating graphs, and conducting initial analysis
第6回Theoretical model and statistical analysisUnderstanding the concept of statistics and theoretical economic model for analysis and further studies
第7回Related statisticsDescription of the concept of correlation coefficient and properties of statistical inference for regression model
第8回Relationship between two variablesCorrelation coefficient Understanding the relationship between two variables and calculation of correlation coefficient by using Excel
第9回Simple regression modelUnderstanding simple regression analysis and using Excel to determine least squares estimates
第10回Multiple regression modelUnderstanding multiple regression analysis and using Excel to determine least squares estimates
第11回Data ProcessingMultiple regression analysis and variable transformation Understanding the concept of variable transformation in regression analysis and how to interpret estimation from transformed variables
第12回Application and practical data analysis 1Performing practical analysis from actual data and interpreting the output of regression model involving given topics
第13回Application and practical data analysis 2Choosing your own data to design and perform basic economic analysis, and interpret estimated results
第14回Final review and practiceSubmission of final report; students are expected to be able to process actual data, generate basic statistics from a given data set, and provide basic interpretation that makes statistical and economic sense
第15回SummaryQuestions and answers; summarize the content of the course to increase students' awareness and capability to use various tools available in Excel to process and analyze actual data based on economic concept
授業形式 The course is taught through short lectures, student presentations, and classroom discussions.
評価方法
定期試験 レポート 小テスト 講義態度
(出席)
その他 合計
0% 50% 0% 50% 0% 100%
テキスト No required or specific textbooks.
参考文献 縄田和満『Excelによる統計入門―Excel2007対応版―』朝倉書店
白砂堤津耶『例題で学ぶ初歩からの計量経済学(第2版)』日本評論社
梅田雅信・宇都宮浄人『経済統計の活用と論点(第3版)』東洋経済新報社
事前学習の内容など,学生へのメッセージ The core of this course lies on the corresponding empirical applications using Excel. As a result, experience with basic computer commands is recommended and experience with Excel is preferred but not required.