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Overview

This course extends econometric modelling using linear regression to cover nonlinear models such as logit and probit, regression methods for forecasting, and an introduction to the treatment of endogeneity (e.g. instrumental variable estimation). Special emphasis will be placed on the process and potential pitfalls of conducting and evaluating applied econometric research. The course will equip students with the necessary knowledge to be able to conduct their own econometric research using typical economic data.

Study Level

Undergraduate

Offering Terms

Term 1, Term 3

Campus

Kensington

Indicative contact hours

4.5

Conditions for Enrolment

Pre-requisite: ECON2206 OR (In Data Sciences and Decisions AND (MATH2831 or MATH2931))

Course Outline

To access course outline, please visit:

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)

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