ECON2206
Slides01
Lecturer: Minxian Yang ie_Slides01 my, School of Economics, UNSW
1
About the Course
• Staff
There will be no lecture in
Week 7.
– Lecturer: Minxian Yang
– Tutors: see Tutorial Contacts
• Required textbook
– Wooldridge, J.M. (2009), Introductory Econometrics:
A Modern Approach, 4th Edition, South-Western
• Assessment
– Two tutorial assignments (weeks 5 & 12): 20%
– One course project (week 9): 20%
– Final exam: 60%
• Submit assignments and project to your tutor! ie_Slides01 my, School of Economics, UNSW
2
About the Course
• Econometric software
Tutorials in Weeks 3 will be in ASB labs.
– STATA recommended
– Available in ASB labs: Mon 15-17 & Thu 11-14 QG021.
• Course resources
– Course website: announcements, course outline, lecture slides, tutorial questions/answers, assignments, course project, data, STATA code, …
– Library (open reserve)
• Read Course Outline carefully!
– Email is not suitable for discussing course material details.
– Work, travel, wedding, etc., are not excuses for missing assessment items. ie_Slides01 my, School of Economics, UNSW
3
About the Course
• Aim & Summary of ECON2206
– Aim to help students develop a working knowledge of econometrics and its applications.
– Focus on linear regression models, their estimation, inference and interpretation.
– Emphasise the applications of econometric methods in practice.
– Foster the technical capability to conduct empirical research in economics, finance and other social sciences. – “Ideal” strategy: read → lecture → read again → try tutorials questions → tutorial ie_Slides01 my, School of Economics, UNSW
4
1. Introduction (Ch1)
1. Introduction
• What is econometrics?
– It covers the statistical methods useful for
•
•
•
•
estimating relationships among economic variables; testing economic theories; evaluating policies;
forecasting