Module Information
Course Delivery
Assessment
| Assessment Type | Assessment length / details | Proportion |
|---|---|---|
| Semester Assessment | 2 Hours Exam | 50% |
| Semester Assessment | Project 2000 Words | 50% |
| Supplementary Assessment | 2 Hours Supplementary Exam | 50% |
| Supplementary Assessment | Supplementary project 2000 Words | 50% |
Learning Outcomes
On successful completion of this module students should be able to:
Complete small scale empirical projects independently, using econometrics software such as Stata
Understand how econometric analysis is used in data science and economics
Apply appropriate econometric techniques to provide evidence for evaluation
Demonstrate knowledge of econometric approaches used in data science and economic studies
Brief description
An introduction to approaches used in advanced econometric modelling, with focus on methods and techniques when the data to be analysed are either time series, cross-sectional or a combination of both. The module builds on students’ knowledge gained in AB23420 Econometrics. Instruction in using the computer software STATA will be provided. Students will gain valuable quantitative skills useful in a broad range of careers across business and economics.
Aims
This module aims to introduce students to advanced approaches used in econometric modelling for applied research in economics and business. A secondary aim is to introduce students to using STATA as a computational package for data science analyses.
Content
Microeconometric modelling: including limited dependent and counted variables
Repeated measures panel data modelling
Module Skills
| Skills Type | Skills details |
|---|---|
| Critical and analytical thinking | Developed through working on individual research project |
| Professional communication | Developed through writing project report |
| Subject Specific Skills | Econometric methods and techniques |
Notes
This module is at CQFW Level 6