EC4437 Applied Macroeconomics
Academic year
2026 to 2027 Semester 2
Curricular information may be subject to change
Further information on which modules are specific to your programme.
Key module information
SCOTCAT credits
20
SCQF level
SCQF level 10
Planned timetable
To be confirmed
Module coordinator
Dr M Bruns
Module Staff
Dr M Bruns
Module description
This module introduces approaches to infer causality in macroeconomic applications. The first half covers univariate approaches such as Granger causality and cointegration analysis and will allow us to answer questions such as: Does unemployment predict inflation or vice versa? Is there arbitrage in the market for short-term bonds? The second half covers multivariate approaches such as structural vector autoregressive models and local projection models. We will first discuss approaches to identify macroeconomic shocks such as labour market shocks, monetary policy shocks, and oil market shocks. In a second step, we will analyse their impact on the macroeconomy and discuss their contributions to business cycle fluctuations.
Relationship to other modules
Pre-requisites
BEFORE TAKING THIS MODULE YOU MUST PASS EC3301 OR PASS MT3508 OR PASS EC5207
Assessment pattern
50% Examination 50% Coursework
Re-assessment
100% Examination
Learning and teaching methods and delivery
Weekly contact
20 hours of lectures over 11 weeks, 1-hour laboratories (x 9 weeks).
Scheduled learning hours
29
Guided independent study hours
171
Intended learning outcomes
- apply empirical methods for establishing causal relationships in macroeconomics
- interpret model outputs to address policy-relevant questions
- implement advanced macroeconomic techniques in statistical software
- critically engage with influential empirical research and contemporary questions in macroeconomics