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Description
The aim of this course is to develop student鈥檚 knowledge of econometric methods to analyze individual- level data (microdata). The use of microdata is increasingly common in economics, and the datasets used are increasingly complex. Micro-econometric analysis can help empirically answer important pol- icy questions.
This course starts by studying core policy evaluation methods, then covers various extensions, and finally reviews limited dependent variable models. Throughout the course, emphasis will be placed on (a) agents鈥� choice and selection into treatment and (b) heterogeneities in treatment impact. Related to these keywords, the lectures are designed to answer the following questions:
- (a) 听What are appropriate econometric techniques to measure policy impact when听assignment听to the policy (treatment) is not random?
- (b) 听What is the econometric framework to measure policy impact when the policy impact is听hetero- geneous听among the individuals?
The second half of the course focusses on limited dependent variable models and their applications. Among those, demand analysis is a central one where these methods are used in the evaluation of taxation and competition policies, for example.
Suitable for: Final year Economics (L100 / L101 / L102) and Econ/Stats (LG13) students.
Prerequisites: Students must have taken ECON0019: Quantitative Economics and Econometrics in the previous year (or equivalent).
Assumed knowledge: Students coming into the course should have a very thorough understanding of regression analysis and instrumental variable strategies.
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Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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