Applied Econometrics II
| Code | School | Level | Credits | Semesters |
| ECON2006 | Economics | 2 | 20 | Spring UK |
- Code
- ECON2006
- School
- Economics
- Level
- 2
- Credits
- 20
- Semesters
- Spring UK
Summary
In part (a) we cover dynamic models, serial correlation, forecasting and (co)integration; part (b) studies limited dependent variable models; part (c) introduces basic panel econometrics.
Students will enhance their understanding using econometric software covering worked examples.
Target Students
Available for Year 2 Undergraduate students on Economics degree programmes studying ECON2005 Applied Econometrics I. Also available for Economics Exchange students with an approved equivalent to ECON2005.
Co-requisites
Modules you must take in the same academic year, or have taken in a previous year, to enrol in this module:
Classes
This module is delivered through a combination of lectures, computer classes and tutorials.
Assessment
- 20% Coursework 1: Group project
- 5% Coursework 2: Completion of weekly quizzes
- 75% Exam 1 (2-hour): Exam
Assessed by end of spring semester
Educational Aims
The module aims to:Introduce students to the principles, uses and interpretation of regression techniques and testing procedures most commonly employed in applied economics using time series data, cross-section models with a binary dependent variable, and simple panel data models.Provide students with sufficient knowledge of regression methods to critically evaluate and interpret published empirical research.Enable students to undertake empirical analyses and econometric forecasting using specialist econometric software.The module aims to enable the participants to develop:Co-ordination with others through problem-based group work.Digital capabilities through an ability to understand verbal, graphical, mathematical and econometric representation of ideas and analysis.Learning Outcomes
On completing this module, the learning outcomes are such that students will be able to:
Knowledge and Understanding:
- A4 Demonstrate understanding of verbal, graphical, mathematical and econometric representation of economic ideas and analysis, including the relationship between them.
- A5 Show understanding of relevant mathematical and statistical techniques.
Intellectual Skills:
- B3 Be able to evaluate, analyse and present quantitative data.
Professional / Practical Skills:
- C2 Understand the sources and content of economic data and evidence, as well as appropriate methods of analysis.
Transferable Skills:
- D1 Apply mathematical, statistical and graphical techniques in an appropriate manner.
- D3 Use appropriate IT packages effectively.