Nottingham University Business School
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Introductory Econometrics

Please note that the following information may be subject to change.

Programme: Undergraduate

Module Code: N12205

Semester: Spring

Convenor: Tim Bailey

Credits & Level: 10 credits; Level 2

Pre-requisites: N12406 (Quantitative Methods 2A) or 'A' level Maths with Statistics (or equivalent).

Co-requisites: None.

Target Students: Available to all Part I and Part II Business School students with relevant pre-requisite N12406 Quantitative Methods 2A, or A Level Maths with Statistics (or equivalent).

Delivery: 2 one-hour lectures for 9 weeks or examples classes per week per semester plus 5 one-hour formative computer lab tests.

Assessment: One 1.5-hour examination (80%); Five 1-hour formative computer lab tests (20%)

Exam Format:Section A: THREE compulsory questions; Section B: TWO questions from a choice of THREE. Section A accounts for 30% and Section B counts for 70%

Summary of Content 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 modelling and data analysis.

Aims To introduce participants to the theory and practice of applied econometric modelling.

Key Words: Econometrics; Economics; Statistics.

Learning Objectives & 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.

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