Economics
Applied Statistics for Finance and Economics
Module code: L1064
Level 5
15 credits in spring semester
Teaching method: Lecture, Seminar, Workshop
Assessment modes: Coursework, Unseen examination
On this module, you'll be introduced to the empirical use of various statistical methods commonly used in the social sciences. You'll learn about best statistical practices through the exploration and analysis of real-world data.
Topics covered include:
- measuring skewness and kurtosis in empirical data
- undertaking tests for normality, goodness-of-fit, and non-parametric testing principles
- ANOVA and experimental design
- OLS and maximum likelihood estimation in the bivariate regression model
- the linear probability and logistic models
- detrending, deseasonalising, and forecasting using time series data
- basic concepts in sample survey methods.
Module learning outcomes
- Have demonstrated a detailed knowledge of quantitative techniques appropriate to the study of economics or finance (as appropriate)
- Have demonstrated an ability to carry out empirical work using appropriate techniques and understand the lmitations of one's work.
- Have demonstrated the ability to carry out self-directed study and research and understand the limitiations of such study.
- Have demonstrated competence in the use of an appropriate range of computer software.