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Unit information: Econometrics 2 in 2021/22

Unit name Econometrics 2
Unit code EFIM20036
Credit points 20
Level of study I/5
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Dr. Stouli
Open unit status Not open

EFIM20011 Econometrics 1



School/department School of Economics
Faculty Faculty of Social Sciences and Law


Builds on material covered in Econometrics 1. Some new techniques will be covered, but the emphasis will shift towards applying Econometrics to problems in Economics. After revisiting the Linear Model, the lectures will introduce time series regression. It will provide an introduction to many of the applied techniques which are used in modern macroeconomics. This part of the course is taught by Sami Stouli.

After introducing heteroskedasticity and the Generalised/Weighted Least Squares estimator, the lectures will cover estimation and hypothesis testing in models for binary dependent variable models. These techniques are often used in estimating models from cross-section samples. Estimation and testing in linear models using panel data is covered next. This part of the course is taught by Alessandro Iaria.

You will find that understanding these techniques and being able to use them are essential in successfully completing the applied projects in the Applied Economics Dissertation.

Intended learning outcomes

At the end of the unit students will:

  1. be able to solve algebraic models to obtain properties of statistical estimators
  2. be able to perform and interpret econometric analysis using a statistical software package
  3. be able to explain the meaning of econometric results and provide an economic interpretation

Teaching details

Teaching will be delivered through a combination of synchronous and asynchronous sessions such as online teaching for large and small group, face-to-face small group classes (where possible) and interactive learning activities

Assessment Details

80% exam

20% coursework


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