Applied Microeconometrics - ECO00005M
- Department: Economics and Related Studies
- Credit value: 10 credits
- Credit level: M
- Academic year of delivery: 2022-23
Module summary
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.
Module will run
| Occurrence | Teaching period |
|---|---|
| A | Spring Term 2022-23 |
Module aims
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
Module learning outcomes
On completing the module a student should be able to:
- choose econometric models which are suitable, both to the data and to the economics models
- understand econometric methods of estimation and inference for limited dependent variables and panel data models
- estimate models and be able to interpret the estimation results, using the software Stata.
Indicative assessment
| Task | % of module mark |
|---|---|
| Online Exam -less than 24hrs (Centrally scheduled) | 100 |
Special assessment rules
None
Indicative reassessment
| Task | % of module mark |
|---|---|
| Online Exam -less than 24hrs (Centrally scheduled) | 100 |
Module feedback
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.
Indicative reading
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.