Empirical evaluation of microeconomic models is crucial to the study and application of economics. The empirical evaluation of economic models based on the analysis of individual behaviour at the micro level often requires special econometric techniques either due to the nature of the explanatory variables or the non-randomness of the sample design. The module introduces students to the main empirical strategies for causal inference. The module will cover identification based on observables, randomized control trials, difference-in-differences, instrumental variables and regression discontinuity design. The students will use an econometric software in the analysis of data and estimations.
Private Study: 117
Contact Hours: 33
Total: 150
This module is:
Compulsory to the following courses:
• MSc in Economics and Econometrics
Optional to the following courses:
• MSc Economics
• MSc Development Economics
• Take home test (40%)
• Examination (2 hours) (60%)
Reassessment: 100% exam
*Exams will be online*
The University is committed to ensuring that core reading materials are in accessible electronic format in line with the Kent Inclusive Practices.
The most up to date reading list for each module can be found on the university's reading list pages.
See the library reading list for this module (Canterbury)
On successfully completing the module students will be able to:
1 Have a general and comprehensive understanding of econometric techniques used in with cross-section and panel data
2 Critically approach reading and interpretation of their own applied microeconomic analyses
3 Analyse complex economic relationships using the real-life data, estimate state of art models on these data and generate sharp predictions and convincing arguments about the relationships in question
4 Communicate effectively with educated audience on the applied microeconometric work by a variety of methods.
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