- Department: Economics and Related Studies
- Credit value: 10 credits
- Credit level: M
- Academic year of delivery: 2022-23
The module will cover the following topics: endogeneity, linear panel data models; binary choices models; multiple choices models; censored and truncated models; count data models. Applied empirical examples will be provided.
Occurrence | Teaching period |
---|---|
A | Spring Term 2022-23 |
Given the extensive use of individual/household data sources in applied microeconomic analysis, it has become increasingly important to understand the techniques available to the microeconometrician in applied research. Moreover, it is just as important to be aware of the limitations and pitfalls associated with each microeconometric technique. The purpose of this module is to provide the applied economist with sufficient background of modern microeconometrics to choose techniques suited both to the data and to the economic model. Also, the lectures provide the opportunity to have practical experience of relevant computer software applied to empirical datasets
On completing the module a student should be able to:
Task | % of module mark |
---|---|
Online Exam -less than 24hrs (Centrally scheduled) | 100 |
None
Task | % of module mark |
---|---|
Online Exam -less than 24hrs (Centrally scheduled) | 100 |
Feedback is provided during lectures by allowing time for questions and answers on issues and providing more detailed explanations using either the visualizer or the white board. One-on-one feedback is provided during each computer practical and office hours. After the exam students are also provided with a written collective exam feedback.
Cameron, A.C. and Trivedi, P. Microeconometrics: Methods and Applications, Cambridge University Press, 2005.
Wooldridge, J., Econometric Analysis of Cross Section and Panel Data, MIT Press, 2nd edition, 2010.
More detailed references will be given in the course outline and reading lists.