Principles of Econometrics
| Code | School | Level | Credits | Semesters |
| BUSI2187 | Nottingham University Business School China | 2 | 10 | Spring China |
- Code
- BUSI2187
- School
- Nottingham University Business School China
- Level
- 2
- Credits
- 10
- Semesters
- Spring China
Summary
ANTI-REQUISITE
Introductory Econometrics
Pre-requisites
BUSI2105 Quantitative Methods 2A
Re-assessment format is decided by the school.
This module will provide an introduction to the theory and practice of quantitative economic modelling at a basic level. The theoretical framework will be developed around the classical regression model and its extensions, with theoretical understanding being supplemented with computer-based practical examples of model construction and data analysis of economics related applications.
Target Students
Compulsory for IBE. There is a limited number of places on this module. Students are reminded that enrolments which are not agreed by the Offering School in advance may be cancelled without notice.
Classes
- One 2-hour lecture each week for 10 weeks
- One 1-hour computing each week for 5 weeks
Assessment
- 100% Exam 1 (2-hour): One 2-hour exam (100%)
Assessed by end of spring semester
Educational Aims
To introduce students to the principles, uses and interpretation of regression analyses most commonly employed in applied economics; to provide participants with sufficient knowledge of regression methods to critically evaluate and interpret empirical research in economics.Learning Outcomes
Learning Objectives & Outcomes
Knowledge and understanding:
This module develops a knowledge and understanding of:
- Econometrics, and its use on actual economic, financial or social data, using suitable statistical or econometric software.
- Mathematical methods for economics.
- Statistical methods for economics.
- The nature, sources and uses of quantitative data and an ability to select and apply appropriate methods that economists might use to analyse such data.
- Relevant quantitative and computing techniques, including mathematical and statistical methods, econometrics and the use of econometric software to estimate models using actual economic data. Economic data and its appreciation.
Intellectual skills:
This module develops:
- The ability to analyse and evaluate a range of business data, sources of information and appropriate methodologies, which includes the need for strong digital literacy, and to use that research for evidence-based decision-making.
Professional practical skills:
This module develops:
- Numeracy and quantitative skills to manipulate data, evaluate, estimate and model business problems, functions and phenomena.
- Facility with key concepts used in decision-making, including expectations.
Transferable (key) skills:
This module develops:
- Subject specific transferable skills including abstraction, analysis, deduction and problem framing.
Conveners
- Dr Bora Kim