Introductory Econometrics
| Code | School | Level | Credits | Semesters |
| BUSI2107 | Nottingham University Business School China | 2 | 10 | Spring China |
- Code
- BUSI2107
- School
- Nottingham University Business School China
- Level
- 2
- Credits
- 10
- Semesters
- Spring China
Summary
ANTI-REQUISITE
Principles of Econometrics
PRE-REQUISITE
Please note that for this module, the following pre-requisite applies:
BUSI2105 Quantitative Methods 2A
(Please ignore Requisites: N/A below)
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.
Re-assessment format is decided by the school.
Target Students
Compulsory for FAM and IBEThere 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 1-hour workshop each week for 5 weeks
- One 2-hour lecture each week for 10 weeks
Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester
Assessment
- 100% Exam 1 (2-hour): One 2-hour examination
Assessed by end of spring semester
Educational Aims
To introduce participants to the theory and practice of applied econometric modelling.Learning Outcomes
Knowledge and understanding
This module develops a knowledge and understanding of
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.
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 analyze such data.
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 Eric Evans Osei Opoku