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Unit information: Econometrics 1 in 2022/23

Please note: It is possible that the information shown for future academic years may change due to developments in the relevant academic field. Optional unit availability varies depending on both staffing, student choice and timetabling constraints.

Unit name Econometrics 1
Unit code EFIM20011
Credit points 20
Level of study I/5
Teaching block(s) Teaching Block 1 (weeks 1 - 12)
Unit director Dr. Polisson
Open unit status Not open

EFIM10023 Mathematics for Economics AND
EFIM10024 Probability, Statistics and Econometrics


MATH10013 Probability and Statistics



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


After a refresher in probability and statistics, this course will be split into two main sections. First, we will study tools to conduct a descriptive analysis and describe the statistical relationship between variables in the data. These methods will revolve around the OLS estimator.

In the second part of the course, we will learn how to conduct a causal analysis. We will introduce and study the IV estimator and then discuss general evaluation problems in experimental and non-experimental settings.

Intended learning outcomes

At the end of the unit students will show:

  1. a good understanding of the OLS regression methodology (what it does, its strengths and weaknesses, how to use it to test economic hypotheses);
  2. a good understanding of IV and more general evaluation methods;
  3. The ability to perform and interpret econometric analysis using a statistical software package.
  4. the ability to read and interpret economics articles which use standard econometric methods.

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


MCQs (best 2 out of 3) (20%) Assesses all learning outcomes.

Examination (2 hours) (80%) Assesses all learning outcomes.


Students must submit credible attempts for at least 3 out of 5 Stata Peer Reviews for Credit Points to be awarded.


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