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.
This module appears in the following module collections.
Total contact hours: 33
Private study hours: 117
Total study hours: 150
Method of assessment
20% Report (2,000 words)
20% In-Course Test (60 minutes)
60% Examination (2 hours)
• Pischke, Jörn-Steffen and Joshua Angrist. Mostly Harmless Econometrics: An Empiricist's Companion. 1st Edition. Princeton University Press, 2008
• Imbens, Guido, and Jeffrey Wooldridge. What's New in Econometrics? NBER Summer Course, 2007
• Pischke, Jörn-Steffen and Joshua Angrist. Mastering 'Metrics: The Path from Cause to Effect. Princeton University Press, 2015
• Woolridge, Jeffrey. Econometric Analysis of Cross-Section and Panel Data. 2nd Edition. MIT Press, 2010
See the library reading list for this module (Canterbury)
On successfully completing the module students will be able to:
• have a general and comprehensive understanding of econometric techniques used in with cross-section and panel data
• critically approach reading and interpretation of their own applied microeconomic analyses
• 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
• communicate effectively with educated audience on the applied microeconometric work in writing and verbally
• acquire the ability to undertake complex and comprehensive empirical modelling of micro economic behaviour through the use of advanced statistical software
• develop numeracy and problem solving skills from the interpretation and manipulation of empirical economic models at high level of abstraction
• creatively present economic arguments drawing on innovative practices
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Credit level 7. Undergraduate or postgraduate masters level module.
- ECTS credits are recognised throughout the EU and allow you to transfer credit easily from one university to another.
- The named convenor is the convenor for the current academic session.
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