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The specification, estimation and testing of a range of models used to analyse microeconometric data is examined. The models to be considered may include discrete choice models, models for censored and truncated data, models of duration data, models with self-selectivity, models of count data, and panel data.
Intended learning outcomes
On successful completion of this subject students should be able to:
- Identify microeconometric models appropriate for different types of survey data
- Explain why and how standard techniques of estimations must be modified in a variety of microeconometric situations
- Apply econometric techniques to test hypothesis in a variety of microeconometric models
- Evaluate the robustness of results obtained from using econometric techniques on real world microeconometric data
- Analyse results obtained from microeconometric data and explain their implications for economic theory
- High level of development: written communication; problem solving; statistical reasoning; application of theory to practice; interpretation and analysis; critical thinking; use of computer software; receptiveness to alternative ideas.
- Moderate level of development: synthesis of data and other information; evaluation of data and other information;
- Some level of development: oral communication; collaborative learning; team work; accessing data and other information from a range of sources.
Last updated: 10 November 2023