This module covers concepts and methods that are employed in contemporary microeconometrics, with an emphasis on the application of these techniques to address various applied research questions using mainly individual level (e.g. firms, households) micro data. Many of the examples will come from labour, public and financial economics, but the techniques covered in this course are applicable to a wide range of fields.
Aims and Objectives
Having successfully completed this module you will be able to:
- Understand the strengths and weaknesses of alternative approaches to estimation and testing
- Conduct empirical analyses using different types of economic data and interpret the results of such
- Identify statistical models and techniques that are appropriate for a particular type of microeconomic data
(1) Randomised Experiments
(2) Instrumental Variables
(3) Panel Data Methods
(4) Differences in Differences
(5) Regression Discontinuity Design
Learning and Teaching
Teaching and learning methods
There are 20 hours of lectures. There is also an independent research component and an in-class presentation.
|Total study time||100|
Resources & Reading list
Angrist and Pischke (2009). Mostly Harmless Econometrics, An Empiricist's Companion. Princeton University Press.
This module is assessed through coursework in form of problem sets (20%), continuous successful participation in class (10%) and an empirical project (50%). Assessment for referral and external repeat is through an empirical project only.
This is how we’ll formally assess what you have learned in this module.
This is how we’ll assess you if you don’t meet the criteria to pass this module.
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
Repeat type: Internal & External