PGR Topics in Advanced Econometrics
| Code | School | Level | Credits | Semesters |
| BUSI4700 | Business | 4 | 10 | Autumn UK |
- Code
- BUSI4700
- School
- Business
- Level
- 4
- Credits
- 10
- Semesters
- Autumn UK
Summary
This module provides an in-depth exploration of advanced econometric techniques crucial for empirical research. Students will focus on building time series models, forecasting, and effectively modelling volatility. Multivariate time series analysis addresses the complexities of analysing multiple time-dependent variables. The curriculum covers instrumental variables, Generalized Method of Moments (GMM) estimation, panel data analysis, and discrete choice models, offering students a deeper understanding of these critical tools. Limited dependent variables models enhance students' ability to model situations with constrained outcomes. The module emphasises hands-on experiences, allowing students to apply these techniques to conduct empirical econometric research, gaining practical skills for real-world applications in economic analysis.
Target Students
Only available for Business School Year 1 PhD students on the PhD in Industrial Economics OR PhD Finance and Risk.
Classes
- One 3-hour lecture each week for 5 weeks
- One 3-hour computing each week for 2 weeks
Assessment
- 100% Coursework: 3,000 words. Reassessment of this module will be 100% coursework.
Assessed by end of autumn semester
Educational Aims
This module aims to provide students with advanced theoretical and applied econometric techniques for modern finance studies. Students should have a more comprehensive knowledge about different types of empirical methods in finance studies and own better skills in dealing with causal interface.Learning Outcomes
Knowledge and understanding
This module develops a knowledge and understanding of:
•The management of projects
•Tools and techniques for transforming (big) data into useful information for business analysis and decision support
•Advanced Econometrics for PhD students.
Intellectual skills
This module develops:
•Using information and knowledge effectively in order to abstract meaning from information and to share knowledge, including the use of quantitative skills
Professional practical skills
This module develops:
•The ability to conduct research and enquiry into business and management issues either individually or as part of a team through research design, the collection and analysis of quantitative data, synthesis and reporting.
Transferable (key) skills
This module develops:
•Effective communication: networking, listening, oral and written communication of complex ideas and arguments, using a range of media, including the preparation of business reports.
•The ability to work collaboratively