Module Details

EC969-7-SP-CO: Applications Of Data Analysis

Year: 2016/17
Department: Economics
Essex credit: 20
ECTS credit: 10
Available to Study Abroad / Exchange Students: Yes
Full Year Module Available to Study Abroad / Exchange Students for a Single Term: No
Outside Option: No

Staff
Supervisor: Dr Birgitta Rabe
Teaching Staff: Dr Birgitta Rabe
Contact details: For further information, send a message to brabe@essex.ac.uk

Module is taught during the following terms
Autumn Spring Summer

Module Description

The aims of the module are threefold. The first aim is to introduce
students to applications of longitudinal data analysis based
on microeconometric techniques. The second aim is to instruct students
in the basics of survey methodology, including issues such as attrition,
response rates, sampling frames and weighting. The third aim is to
develop an understanding of the links between the predictions of
economic theory and empirical implementation of such theory using longitudinal data. To deepen students understanding, the whole
course is based on the lab, where students perform supervised practical
analyses of longitudinal data (specifically on the British Household Panel Survey) and familiarise with basic PC statistical programs (STATA).

The module has three parts:
1 An introduction to different types of panel datasets and their issues,
and to the statistical software.
2 An introduction to survey methodology, with particular focus on
attrition, response rates, sample frames, and weighting.
3 Applications of panel data methods to the study of labour markets,
with particular focus on marriage, unemployment and wages.

Feedback for this module will occur through class meetings where we will go over the answers to problem sets and where you will be able to ask questions about your own method of solution; answers that will be posted on the website for the module that will give you written guidance on the appropriate method to approach the problems, assignments, and tests; and office hours where any additional questions can be addressed. You should be sure that you use these methods to understand how to improve your own performance.

Learning and Teaching Methods

4 hours lecture per week Weeks (21 - 25) all in the lab.

Assessment

Whichever is the Greater: EITHER 50 per cent Coursework Mark, 50 per cent Exam Mark OR 100 per cent Exam Mark

Coursework

One term paper (compulsory)

Exam Duration and Period

2:00 during Summer Examination period.

Other information

Compulsory for:
MSc in Applied Economics and Data Analysis

The material for this module has changed for this academic year, please check the module outline available via the CMR for details.

Bibliography

  • C. Hsiao (1986) Analysis of panel data, Cambridge University Press
  • B. Baltagi (1995) Econometric analysis of panel data, John Wiley and Sons.

Further information