Numbering Code	U-ECON00 20208 LJ43	Year/Term	2022 ・ Second semester
Number of Credits	2	Course Type	Lecture
Target Year	From 2nd to 4th year students	Target Student
Language	Japanese	Day/Period	Fri.2
Instructor name	YANAGI TAKAHIDE (Graduate School of Economics Senior Lecturer)
Outline and Purpose of the Course	Econometrics is an academic field on data analysis methods for causal inference, program evaluation, economic predictions, and investigating the validity of economic theory. This course aims to provide introduction to probability, statistics, and basic econometric methods. More specifically, the course will comprise basic topics on probability theory, statistical inference, randomized controlled trial, ordinary least squares estimation, instrumental variables estimation, and regression discontinuity designs. This course is recommended for second year undergraduate students.
Course Goals	1. You will understand elementary probability theory and introductory statistical inference. 2. You will understand basic econometric methods such as ordinary least squares estimation, instrumental variables estimation, regression discontinuity designs. 3. You will understand some well-known econometric applications.
Schedule and Contents	1. Guidance, Introduction to Econometrics 2. Probability Theory 3. Probability Theory 4. Probability Theory 5. Statistical Inference 6. Statistical Inference 7. Statistical Inference 8. Identification and Randomized Controlled Trial 9. Ordinary Least Squares Estimation in Simple Linear Regression Models 10. Ordinary Least Squares Estimation in Simple Linear Regression Models 11. Ordinary Least Squares Estimation in Multiple Linear Regression Models 12. Ordinary Least Squares Estimation in Multiple Linear Regression Models, Instrumental Variables Estimation 13. Instrumental Variables Estimation 14. Regression Discontinuity Designs 15: Feedback using PandA
Evaluation Methods and Policy	Evaluation through the term-end exam (70%) and homework assignments (30%). Students with scores less than 50 are given the final grade "F". Students with scores not less than 50 are given one of the final grades "A+", "A", "B", "C", and "D" by relative evaluation. There will be one term-end exam and two or three homework assignments. The term-end exam and homework assignments aim to check understanding of the course contents. Homework assignments comprises theoretical exercises and numerical problems.
Course Requirements	Completing "Basic Statistics" or "Statistics 1" is required. Completing "Basic Mathematics A" and "Basic Mathematics B" is recommended, but not required.
Study outside of Class (preparation and review)	Some practice problems will be distributed during the lectures. As preparation and review, students should read the lecture notes and solve practice problems.
Textbooks	Textbooks/References	Lecture materials will be distributed by PDF files.
References, etc.	計量計済学, 西山慶彦，新谷元嗣，川口大司，奥井亮, (有斐閣, 2019), ISBN:978-4-641-05385-4 Introduction to Econometrics, J. H. Stock and M. W. Watson, (PEARSON, 2019), ISBN:978-0134461991