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 support classes where any additional questions can be addressed. You should be sure that you use these methods to understand how to improve your own performance.
- Module Supervisor: Angus Holford