Introductory Econometrics

Code

BUSI2053

School

Nottingham University Business School

Level

2

Credits

10

Semesters

Spring Malaysia

Summary

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.

Target Students

Available to Part I or Part II Business School students with the required pre-requisiteBUSI2055 Quantitative Methods 2A.

Co-requisites

Modules you must take in the same academic year, or have taken in a previous year, to enrol in this module:

• Quantitative Methods 2A (BUSI2055)

Classes

• One 1-hour workshop each week for 5 weeks
• One 2-hour lecture each week for 12 weeks

Twelve 2-hour lectures or examples class and five 1-hour computer lab workshops per semester.

Assessment

• 20% Five computer lab tests: 1-hour each test
• 80% Exam 1 (2-hour): 2 hours

Assessed by end of spring semester

Educational Aims

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.

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.

Knowledge and understanding (Industrial Economics)

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.

Conveners

• Dr Moe Chit Myint