ECON42110 Topics in Econometrics

Academic Year 2017/2018

Good empirical economics is a combination of asking an interesting research question, and finding an empirical approach – an identification strategy – that enables you to answer the question. The aim of this module is to equip you with the most common cross-section and panel data methods used for identification in current research using micro data, e.g. firm- or individual-level data sets.
Topics will be exposed with theoretical rigor, and the strengths and limitations of the various techniques will be addressed. Applied examples will be offered from the literature, and you will learn how each method can be implemented using actual datasets.

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Curricular information is subject to change

Learning Outcomes:

• Appraise the problems associated with micro data sets and identify strategies to address them
• Interpret econometric output from software packages
• Assess critically the empirical methods used in the analysis of micro data sets
• Apply the appropriate econometric techniques to own research
• Communicate research results appropriately in written and oral formats

Student Effort Hours: 
Student Effort Type Hours
Lectures

22
Autonomous Student Learning

78
Total

100
 
Requirements, Exclusions and Recommendations
Learning Recommendations:

Prior exposure to econometric methods



 
Description % of Final Grade Timing
Assignment: 4-5 Data analysis and research assignments

100

 Throughout the Trimester

Compensation

This module is not passable by compensation

Resit Opportunities

In-semester assessment

Remediation

If you fail this module you may repeat, resit or substitute where permissible.