EC969-7-SP: APPLICATIONS OF DATA ANALYSIS
Year: 2013/14
Department: Economics
Essex credit: 20
ECTS credit: 10
Available to Study Abroad / Exchange Students: Yes
| 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.
Learning & 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 (not compulsory)
Exam Duration and Period
2:00 hour exam 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
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B. Baltagi (1995) Econometric analysis of panel data, John Wiley and Sons.
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