Econometrics 2 (ECOM90002)

Intended learning outcomes

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

• Explain various problems of interpretation of causal estimates in regression and how the problems may be addressed using instrumental variables.
• Apply least squares methods to estimation and inference for linear regression models with panel data.
• Apply least squares to estimation, inference and interpretation for single and multiple equation models for stationary and non-stationary time series data.
• Derive, simulate and interpret statistical properties of least squares estimators in these settings.
• Formulate hypotheses about economic phenomena, collect real-world data, apply econometric methods to test hypotheses, and draw evidenced-based conclusions or implications for economic theory and/or public policy.

Generic skills

• High level of development: problem solving; statistical reasoning; application of theory to practice; interpretation and analysis; evaluation of data and other information; use of computer software.
•  Moderate level of development: written communication; collaborative learning; team work; critical thinking; synthesis of data and other information.
• Some level of development: accessing data and other information from a range of sources.