Subject details

At the completion of the subject students will be able to:

  1. explain the theoretical foundation behind linear regression analysis
  2. examine the assumptions and properties of various estimators, including least squares estimators and Maximum Likelihood estimator
  3. formulate economic/financial hypotheses into statistically testable forms and conduct these tests using real-life economic/financial data
  4. evaluate the adequacy of various statistical models/tests as they are applied to real life data
  5. identify and examine various applied topics in econometrics.
    • Statistics and Probability Review
    • Classical Linear Regression and Least Squares (LS) Estimation
    • Multivariate Linear Regression Model
    • Properties of LS Estimator; Statistical Inferences and Hypothesis Testing
    • Heteroskedasticity, Autocorrelation
    • Diagnostic Testing
    • Simultaneous equation models,
    • Time-series analysis
    • Volatility modelling
    • Discrete-choice models

  • Study resources

    • Instructional methods

      • Standard Media
      • Web links
      • Embedded Multimedia
      • Podcasting/Lecture capture
      • Online Quizzes/Tests
      • Audio/Video conferencing
      • Chat Rooms
      • Online assignment submission
      • Discussion forum/Discussion Board

    • Online materials

      • Online Assessment
      • Printable format materials
      • Resources and Links

In order to enrol in this subject, you must be accepted into one of the following degrees:

Core
  • CUR-FIA-GCE-2019

Special requirements

No special requirements

The subject starts with a brief review of statistics and probability theories. It then discusses the theory of linear regression analysis.The second part of the subject will be devoted to applied topics in econometrics, including: simultaneous equation models, qualitative and limited dependent variable models, and selected time-series data analysis methods. The practical uses of the techniques introduced in the subject are demonstrated through their applications to the analysis of economic/financial data in laboratory classes.

Please Note: If it’s your first time studying a Curtin University subject you’ll need to complete their compulsory ‘Academic Integrity Program’. It only takes two hours to complete online, and provides you with vital information about studying with Curtin University. The Academic Integrity Program is compulsory, so if it’s not completed your subject grades will be withheld.

Find out more about the Academic Integrity module.

  • Project (50%)
  • Case study (50%)

Textbook information is pending.

Textbook information is pending.

Related degrees

postgraduate CUR-FIA-GCE-2019

Graduate Certificate in Finance and Investment Analytics