Programme And Module Handbook
 
Course Details in


If you find any data displayed on this website that should be amended, please contact the Curriculum Management Team.

Module Title LH Statistical Methods in Economics
SchoolMathematics
Department Mathematics
Module Code 06 23062
Module Lead Dr Hui Li
Level Honours Level
Credits 20
Semester Full Term
Pre-requisites Statistics II - (06 22506)
Co-requisites
Restrictions None
Contact Hours Lecture-46 hours
Tutorial-10 hours
Total: 56 hours
Exclusions
Description This course is designed for students with limited or no prior economic theory background. It emphasizes the understanding of quantitative methods, model evaluations, and the techniques for empirical studies in economics. This module starts with an introduction to general economic concepts, then it will cover the basics and extension of ordinary least square methods, heteroscedasticity, autocorrelation, multicollinearity, model specifications, simultaneous equation models, binary and discrete choice models, qualitative and limited dependent variable models, time series analysis, panel data models, and nonparametric analysis with their applications in Economics. Students will gain hands-on experience formulating and estimating models, interpreting results, and making forecasts.
Learning Outcomes By the end of the module the student should be able to:
  • Demonstrate an understanding of the nature of statistical inferential procedures involved in analysing economic data;
  • Formulate models to solve some empirical economic problems;
  • Apply appropriate statistical methods and techniques to understand relationships among variables;
  • Use statistical computing programme of SAS/SPSS;
  • Demonstrate an understanding of the power and limitations of applied statistical analysis;
  • Perform and present research by using relevant data and statistical tools.
Assessment 23062-01 : Raw Module Mark : Coursework (100%)
Assessment Methods & Exceptions Continuous assessment by 30% coursework and/or class tests. 70% based on a 3 hour examination in the summer term.
Other None
Reading List