Statistical methods
Faculty
KANO, Takashi
Credit / Semester / Schedule
4 Credits / Winter Semester / Monday Period: 4 / Tuesday Period: 1
Description
Sound knowledge of statistical methods is inevitable for evaluating effects of social and economic policies and their welfare implications critically. This introductory course of statistical analysis covers the following basic topics in econometrics:
(1) Descriptive statistics
(2) Simple regression analysis
(3) Multiple regression analysis: estimation and inference
(4) Heteroskedasticity and serial correlation
(5) Estimation and inference by maximum likelihood
(6) Endogeneity and instrumental variables
(7) Simultaneity
(8) Limited dependent variables and sample selection
(9) Other topics
In addition, this course emphasizes practical applications of the above econometrics for policy evaluation using statistical software such as Matlab, STATA, and EViews. Students are expected to learn how to implement statistical analysis through solving problem sets and assignments.
Course materials
Wooldridge, J.M., 2008, Introductory Econometrics: A Modern Approach, South/Western Publication.
Grading
Problem sets, mid-term, and final exams