Econometric Theory and Application

• • 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

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

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.

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Find out more about the Academic Integrity module.

• Project (50%)
• Case study (50%)