Econometrics 1: Introduction to Econometrics

Econometrics 1: Introduction to Econometrics

Year: 2018-2019
Course code: ECON4003
Course credits: 15
Taught: Semester 1
Course co-ordinator: Wenya Cheng 
Entry requirements: Normally admission to an honours programme in Economics.
Available to visiting students: Yes
Contact for more information: Gillian Weir

Course description

The main aims of this course are: to build upon the foundation provided by the Data Analysis component of Economics 2 by providing an introduction to the fundamental theoretical concepts and applications of statistics as they relate to the linear regression model. To this end we will discuss random variables; probability distributions of random variables (e.g. normal, chi-square, t and F); the bi-variate regression model; desirable properties of an estimator (e.g. unbiasedness, consistency, and efficiency); and the Gauss-Markov conditions.  By the end of this course, students should be able to outline the scope and nature of econometrics; analyse the problem of fitting a regression line; outline the basic properties required of a good estimator; interpret regression results and motivate, calculate and interpret hypothesis tests.

Learning and teaching methods

20 hours of lectures (10 x 2 hours), Tuesday, 2.00-4.00 pm; 6 hours tutor-led problem solving sessions (6 x 1 hour) and 4.5 hours tutor-led computing sessions (3 x 1.5 hour).

Course texts

Hill, C., Griffiths, W. and Lim, G. (2011). Principles of Econometrics, fourth edition, John Wiley & Sons, Inc.

 Assessment

A practical skills assignment (30%)
A 2-hour degree exam (April/May) (70%)