Credit Points 10

Legacy Code 200916

Coordinator Maria Estela Varua Opens in new window

Description Economic and Financial Modelling examines regression analysis and its use in business especially in economics, finance and accounting. Topics will include the properties of estimators, hypothesis testing, specification error, multicollinearity, dummy variables, heteroskedasticity, serial correlation. It also introduces other modelling techniques in finance and economics. Empirical assignments undertaken by the student form an integral part of the unit. The emphasis is on learning by doing in small group workshops.

School Business

Discipline Econometrics

Student Contribution Band HECS Band 4 10cp

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Level Undergraduate Level 3 subject

Pre-requisite(s) MATH 1030 OR
ECON 1006

Equivalent Subjects ECON 3004 - Economic Modelling

Learning Outcomes

On successful completion of this subject, students should be able to:

1. Apply the basic elements of econometric modelling and forecasting.
2. Demonstrate how standard computer software may be used to analyse simple financial and economic problems with a statistical package.
3. Demonstrate �ghands-on�h experience in constructing econometric models.
4. Define business problems and analyse using appropriate quantitative techniques.

Subject Content

1. Econometrics and testing economic hypotheses. What should an econometrics report contain?
2. The probability foundations of econometrics.
3. Point estimation in the classical linear econometric model; least squares and likelihood criteria.
4. Hypothesis testing: the Wald, Lagrange multiplier and likelihood ratio tests.
5. Model diagnostics; heteroskedasticity, autocorrelation, model specification testing.
6. Generalised least squares, feasible generalised least squares including autocorrelated errors.
7. Dealing with binary independent variables.
8. Instrumental variable methods.
9. Model discrimination testing; nested tests and testing linear restrictions; non-nested tests.