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Unit information: Probability, Statistics and Econometrics in 2020/21

Unit name Probability, Statistics and Econometrics
Unit code EFIM10024
Credit points 20
Level of study C/4
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Dr. Proud
Open unit status Not open

Mathematics for Economics



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


Economics, as a social science, relies on analysis of observed data to test and improve theoretical models. This unit introduces the probability and statistical tools that students will need in further years of study. In this unit, students will see topics including:

  • An introduction to probability using discrete and continuous data
  • Bayes’ rule
  • The difference between sample and population characteristics
  • Properties of estimators, including consistency and unbiasedness
  • Hypothesis testing relating to samples of observed data
  • An introduction to econometrics using OLS
  • Hypothesis testing in single and multiple regression
  • Problems of estimation, including omitted variables bias.

Intended learning outcomes

Students will be able:

  1. To manipulate mathematical formulae to solve problems involving probability and statistical functions
  2. To apply probabilistic methods to economic problems and to interpret the results of probabilistic models
  3. To understand statistical concepts and to apply these to estimation and hypothesis testing
  4. To use appropriate statistical software (such as Excel) to carry out simple statistical analysis.

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

Portfolio of assignments (40%) (Assesses all learning outcomes)

Applied econometrics essay, requiring students to engage with published research (60%) (Assesses Learning Outcomes [1]-[3])

Reading and References

There is no single textbook for this unit, but the following texts will be helpful companions:


Crawshaw, D.J., and Chambers, J.S. (2013) A concise course in Advanced Level Statistics with worked examples


Stock J. and Watson M. (2007) Introduction to Econometrics 3rd edition Pearson Education, New York

Gujarati D. and D. Porter (2010) Essentials of Econometrics (4th Edition) McGraw Hill Irwin