Applied Econometrics I
| Code | School | Level | Credits | Semesters |
| ECON2040 | Economics | 2 | 20 | Autumn Malaysia |
- Code
- ECON2040
- School
- Economics
- Level
- 2
- Credits
- 20
- Semesters
- Autumn Malaysia
Summary
Target Students
Available to all students who have the appropriate pre-requisites.Available to JYA/Erasmus students.
Classes
- One 1-hour tutorial each week for 5 weeks
- One 2-hour lecture each week for 10 weeks
- One 1-hour computing each week for 4 weeks
10 lectures, 4 computer classes and 5 tutorials throughout the semester. Activities take place only in specified weeks of the Semester. A complete timetable is published on the website.
Assessment
- 75% Exam 1 (1-hour-30-minute): take home exam
- 25% Coursework 1: Coursework (2000 words)
Assessed by end of autumn semester
Educational Aims
The main aims of this module are to:o introduce students to the principles, uses and interpretation of regression analysis most commonly employed in applied economics using cross-section data;o provide students with sufficient knowledge of regression methods to critically evaluate and interpret published empirical research;o enable students to undertake empirical analyses using specialist econometric software.Learning Outcomes
Learning Outcomes: On completion of this module students should be able to:
- demonstrate understanding of the assumptions, methods and data used in regression analysis;
- interpret and manipulate the coefficients of multiple regressions and performance criteria;
- conduct hypothesis tests on the coefficients of regression equations;
- perform econometric analyses of their own using economic data.
Emphasised 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/Key Skills
D1 Apply mathematical, statistical and graphical techniques in an appropriate manner.
D3 Use appropriate IT packages effectively.
Conveners
- Mahmood Ur-Rahman