Quantitative Methods

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

• Understand the key issues faced in applied econometric analysis, and how to deal with these.
• Demonstrate knowledge and understanding of the most common empirical strategies used in applied econometric research
• Demonstrate knowledge and understanding of both cross-sectional and time-series econometric theory

The main topics to be covered include:

• Linear Regression Models
• Hypothesis Testing and Confidence Intervals
• Instrumental Variables Regression Models
• Programme Evaluation Techniques: Matching, Difference-in-Differences and Regression Discontinuity Design
• Discrete Choice Models
• Censored Regression and Sample Selection Models
• Panel Data Models
• Time Series Models

The pace of the lectures may need to be adjusted based on prior knowledge of econometrics and students’ interest in the current topic being discussed.

Teaching and learning methods

This is a full course unit with 40 hours of lectures and 4 hours of computer classes.

Assessment strategy

Assessment is through end of module written examination (worth 95% of the final mark) and coursework assessing software skills (5%). This is supported by continuous formative assessment in form of problem sets. This is the same for internal repeat. Assessment for external repeat and referral is through 100% end of module examination.

Summative

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

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Repeat

An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.

Repeat Information

Repeat type: Internal & External