THE UNIVERSITY OF QUEENSLAND 
ECON3330: Econometric Analysis 
Final Examination Guide and Notes 2026 
 
Part 01: Revision Notes 
Part 02: Sample Final Examination Paper 
Part 03: Detailed Solutions and Explanations 
Part 04: Proven Exam Strategies and Tips 
 
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University of Queensland - ECON3330: Econometric Analysis (Solutions)

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ACADEMIC YEAR 2025 - 2026

University	University of Queensland
Study Level	Undergraduate
School	Economics School
Course Code	ECON3300
Course Name	Econometric Analysis
Notes Title	Final Examination Guide and Notes
Format	PDF
Page Length	74

Studying ECON3300: Econometric Analysis at the University of Queensland? This complete guide supports you from week one through to your final revision. It covers all examinable topics, explains how the final exam is structured, and highlights what to expect and which concepts to focus on. You also get sample exam questions with clear answers and explanations, plus final-exam hints and tips to help you feel confident on the day.

Theory of general linear model-topics include: least squares, generalised method of moments & maximum likelihood estimators under iid, autocorrelated & heteroskedastic error specifications.

The purpose of this course is to provide the theoretical background to many econometric techniques covered in ECON2300. It deals with the theory behind the techniques rather than the implementation of the techniques. It also covers material on testing, generalised method of moments, and maximum likelihood estimation not encountered in ECON2300. Matrix algebra is an important mathematical tool that is used throughout this course. The course has been structured so that you can learn the necessary matrix algebra as an integral part of the material. Lectures will present theoretical concepts in detail.

✔ After successfully completing this course you should be able to:

Apply matrix algebra proficiently to derive properties of (and compute) various econometric estimators.
Explain the theory behind the General Linear Regression Model.
Derive and explain the numerical and statistical properties of the OLS, GLS and IV estimators.
Understand the finite sample and asymptotic properties of the OLS, GLS and IV estimators.
Use statistical packages such as R-Studio to compute the various estimators on real world datasets.
Apply the learned theory and methods to the real world.

COURSE CODE	COURSE NAME
ACCT1101	Accounting for Decision Making
ACCT1110	Financial Reporting and Analysis
ACCT2102	Intermediate Management Accounting
ACCT2110	Intermediate Financial Accounting
ACCT3103	Advanced Financial Accounting
ECON1010	Introductory Microeconomics
ECON1011	Economics for Business
ECON1020	Introductory Macroeconomics
ECON1310	Introductory Statistics for Social Sciences
ECON2010	Microeconomic Theory
ECON2300	Introductory Econometrics
ECON3210	Financial Markets and Institutions
ECON3330	Econometric Theory
FINM1415	Introduction to Finance
FINM2415	Corporate Finance
FINM2416	Asset Pricing
FINM3405	Derivatives and Risk Management
LAWS1100	Business Law
LAWS3101	Income Tax Law
MGTS1301	Introduction to Management
MKTG1501	Foundations of Marketing

University of Queensland - ECON3330: Econometric Analysis (Solutions)

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