Nottingham University Business School
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Applied Econometrics

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

Programme: Undergraduate

Module Code: N13702

Semester: Spring

Convenor: Danny McGowan

Credits & Level: 10 credits; Level 3

Pre-requisites: N12205 (Introductory Econometrics).

Co-requisites: None.

Target Students: Available to all Part I and Part II Business School students and Joint/Minor students with the required pre-requisite N12205 Introductory Econometrics. CANNOT be taken by students who have taken/are taking L12320 Econometrics I and/or L12420 Econometrics II.

Delivery: 11 one-hour lectures and 4 one-hour small group computer workshops

Assessment: One 1.5 hour examination. (100%)

Exam Format:Answer all questions from Section A and One question from Section B. Both sections carry equal marks. Section A to contain One compulsory question. Section B to contain Three questions.

Summary of Content The module will provide an introduction to econometric techniques for modelling data. Topics to be covered include panel data modelling (difference-in-difference models; regression discontinuity designs; experiments), qualitative response models and time series models.

Aims To introduce students to modern theory and practice of econometrics.

Key Words: Econometrics.

Learning Objectives & Outcomes Knowledge and understanding
This module develops a knowledge and understanding of:
  • Quantitative analysis of data
Intellectual skills
This module develops:
  • The ability to analyse facts and circumstances to determine the cause of a problem and identifying and selecting appropriate solutions
  • 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
  • Conceptual and critical thinking, analysis, synthesis and evaluation
Professional practical skills
This module develops:
  • Numeracy and quantitative skills to manipulate data, evaluate, estimate and model business problems, functions and phenomena
Transferable (key) skills
This module develops:
  • Articulating and effectively explaining information

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