Quantitative Economics

Learning Outcomes

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

• the strengths and weakness of alternative approaches to estimation and testing
• the key methods in econometrics to address economic and economic policy questions

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• interpret and evaluate the results of econometric analysis in a range of contexts
• apply adequate econometric methods to address economic and policy questions using data

Transferable and Generic Skills

Having successfully completed this module you will be able to:

• Apply adequate statistical software to analyse data

Topics covered are:

• Econometric modelling of economic data.
• Hypothesis testing and confidence intervals
• Least squares inference in the simple linear regression model.
• The multiple regression model: Testing and models specification.
• Causal inference

This module will cover both techniques of estimation and methods for testing and evaluating results. Emphasis is placed on providing you with practical experience of working with actual economic datasets and using a standard econometric software package (such as Stata) for data analysis. Students will be acquainted with the use of adequate statistical software during practical sessions in computer labs

Teaching and learning methods

Lectures, masterclasses and computer classes

Assessment strategy

Assessment in this module takes the form of an online software skills test (worth 10% of the final mark) and a final written exm (worth 90%). This is supported by continuous formative assessment. This is the same for internal repeat. Assessment for external repeat and referral is through final written exam only.

Summative

This is how we’ll formally assess what you have learned in this module.

Repeat Information

Repeat type: Internal & External