Not available in 2020/21
EC2C3 Half Unit
This information is for the 2020/21 session.
To be confirmed.
This course is compulsory on the BSc in Economic History with Economics, BSc in Economics and Economic History, BSc in Finance, BSc in International Social and Public Policy and Economics, BSc in Philosophy and Economics and BSc in Politics and Economics. This course is available on the BSc in Accounting and Finance, BSc in Environment and Development, BSc in Environmental Policy with Economics, BSc in Geography with Economics, BSc in Mathematics and Economics, BSc in Mathematics with Economics, BSc in Mathematics, Statistics and Business, BSc in Philosophy, Politics and Economics and Diploma in Accounting and Finance. This course is available as an outside option to students on other programmes where regulations permit. This course is available with permission to General Course students.
Elementary Statistical Theory (ST102) or Quantitative Methods (Statistics) (ST107)
This course is an applied introduction to econometrics. You will be taught what regression-based techniques are and what they can be used for. The course draws heavily on empirical questions and you will work with statistical software to analyse actual data sets and will learn some basic programming and data handling skills in the process. The course will focus on how statistical tools can be used to answer causal “what-if” questions (e.g., “What is the effect of monetary policy on output?”) and prediction problems. Topics include: randomised experiments; program evaluation; matching; simple and multiple regression analysis; omitted variable bias; functional form; measurement error; instrumental variables.
30 hours of lectures and 10 hours of classes in the MT.
Students will be expected to produce 10 pieces of coursework in the MT.
• J. D. Angrist and J. S. Pischke Mastering ‘Metrics. The Path from Cause to Effect, Princeton University Press.
• J. Wooldridge Introductory Econometrics. A Modern Approach, Cengage
• J. H. Stock and M. Watson Introduction to Econometrics, Pearson
Exam (100%, duration: 2 hours) in the January exam period.
Important information in response to COVID-19
Please note that during 2020/21 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the situation of students in attendance on campus and those studying online during the early part of the academic year. For assessment, this may involve changes to mode of delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.
Total students 2019/20: Unavailable
Average class size 2019/20: Unavailable
Capped 2019/20: No
Value: Half Unit
Personal development skills
- Team working
- Problem solving
- Application of information skills
- Application of numeracy skills
- Specialist skills