Practice Session for Statistical Methods
Instructors
Credits / Language / Semester
1Credits / English / Winter
Objectives/Overview
This is a course in introductory statistics and econometrics, designed to provide students with the theoretical tools and practical experience necessary to conduct applied econometrics research. Students will be actively involved with computer exercises in this course using the econometric software, EVIEWS or STATA. The course will introduce basic knowledge in statistics and econometrics and skills on how to use econometric software, and the major applications in economic analysis. Throughout the course students will use EVIEWS /STATA to implement a series of econometrics exercises designed to provide experience with various tests and estimation procedures.
Keywords
Statistics, Probability, Estimation, Statistical inference, Regression analysis, STATA, EVIEWS
Schedule
Course outline is as follows:
1. Introduction and Review of Basic Statistics Concepts
2. Review of Probability Distribution I
3. Review of Probability Distribution II
4. Sample Statistics and Sampling Distribution I
5. Sample Statistics and Sampling Distribution II
6. Interval Estimation I
7. Interval Estimation II
8. Hypothesis Testing
9. Regression Model I
10. Regression Model II
Teaching Methods
Lectures and computer exercises
Grading
Grades will be based on three things: a final exam, a midterm exam, and problem sets. The final exam will count for 30%, the midterm exam for 20%, and problem sets for 50%.
Required Text
Anderson, David R., Dennis J. Sweeney, and Thomas A. Williams, Statistics for Business and Economics, (11th Edition), Thompson South-Western, 2010.
Reference Books
Wooldridge, Jeffrey, Introductory Econometrics: A Modern Approach, (4th edition), Thompson South-Western, 2008.
Notes on Taking the Course
Students should take the course “Statistical Methods”.