INTRODUCTION TO ECONOMETRICS
経済学部 - 経済学科
EECS1005
コース情報
担当教員: SCHLEGL Matthias
単位数: 2
年度: 2024
学期: 秋学期
曜限: 水1
形式: 対面授業
レベル: 200
アクティブラーニング: あり
他学部履修: 可
評価方法
授業内期末試験
授業期間中
小テスト等
その他
Grading consists of the following components: (1) Assignments (30%): These ask you to work in greater detail with the concepts of the lecture or to apply them to real-world economic data. (2) Data analysis project (20%) (3) Final exam (50%): The final exam will take place during the last lecture.
詳細情報
概要
This course is an introduction to econometrics that covers basic concepts, tools and methods for inferring economic structure from data as well as their applications. We will combine statistical methods with economic theory to make inferences about causal relationships among economic variables. Students will become familiar with basic programming commands in STATA, a data analysis program, by conducting several case studies in which these concepts are applied to the analysis of real-world datasets. There are no prerequisites for taking this course. Yet, students are expected to have basic knowledge of statistics and probability theory and ideally have attended the course "Introduction to Statistics" before. (There will only be a very concise review of major concepts at the beginning of the course.) All course materials will be distributed via the course page on Moodle. Assignments and additional readings will also be handled via Moodle. Please make sure that you subscribe to the course page on Moodle in order to participate in this course. Course registration and Moodle are not interlinked; and therefore, registration on Moodle must be done separately.
目標
1) Solid understanding of statistical concepts and econometric models underlying the data analysis process and ability to critically evaluate an econometric study. 2) Basic programming skills related to the creation, modification and econometric analysis of a dataset in STATA. 3) At the end of this course, students should be able to independently apply these tools to analyze a dataset methodically and comprehensively.
授業外の学習
The course is to a large extent based on the textbook "Introduction to Econometrics" by James Stock and Mark Watson. Students are expected to read all relevant chapters as well as other assigned readings before the respective class to be able to contribute to class discussions. In addition, the course material will be tested via assignments. These typically involve exercises from the main textbook and require reviewing the lecture material and working with real-world datasets. Students are expected to use STATA for the solution of these exercises, which is available on university servers. In addition, STATA can be accessed by students from outside the university. For more information, please inquire at the ICT office. (You can also purchase personal copies of STATA at a student discount.) Regular attendance and active participation in class are expected.
所要時間: It depends on your work efficiency.
スケジュール
- Chapter 1: Introduction to data analysis with STATA
- Chapters 2/3: Statistics and probability theory (Theory)
- Chapters 2/3: Statistics and probability theory (Applications)
- Chapter 4: Linear regression with a single regressor (Theory)
- Chapter 5: Linear regression with a single regressor (Theory)
- Chapters 4/5: Linear regression with a single regressor (Applications)
- Chapter 6: Linear regression with multiple regressors (Theory)
- Chapter 7: Linear regression with multiple regressors (Theory)
- Chapters 6/7: Linear regression with multiple regressors (Applications)
- Chapter 8: Nonlinear regression functions (Theory)
- Chapter 8: Nonlinear regression functions (Applications)
- Chapter 9: Internal and external validity of empirical studies
- Review and discussion of data analysis project
- Final exam
教科書
The couse is to a large extent based on the textbook by James Stock and Mark Watson. I highly recommend course participants to get their own copy of the book. Spiegelhalter's book is a non-technical introduction into statistics written for a general audience.
Introduction to Econometrics
著者: James Stock and Mark Watson
出版社: Pearson, Fourth Edition (Global Edition)
The Art of Statistics: How to Learn from Data
著者: David Spiegelhalter
出版社: Basic Books, 2021
参考書
書籍情報はありません。