This information is for the 2020/21 session.
Teacher responsible
To be confirmed.
Availability
This course is compulsory on the BSc in Econometrics and Mathematical Economics and BSc in Economics. This course is not available as an outside option nor to General Course students.
Pre-requisites
Students must have completed Quantitative Methods (Mathematics) (MA107).
Economics (EC1P1)
The new half-unit version of ST102
Course content
This course is an applied introduction to econometrics. Its aim is to introduce you to the principles of estimation and statistical inference and the central tool of regression. The course draws heavily on empirical questions and you will work with statistical software analysing actual data sets and learn some basic programming and data handling skills in the process. You will learn 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; sampling and estimation; statistical inference, standard errors, and hypothesis testing.
Teaching
20 hours of lectures and 10 hours of lectures in the LT.
Formative coursework
There are weekly assignments and feedback will be given on two.
Indicative reading
Assessment
Exam (100%, duration: 2 hours) in the summer exam period.
Key facts
Department: Economics
Total students 2019/20: Unavailable
Average class size 2019/20: Unavailable
Capped 2019/20: No
Value: Half Unit
Personal development skills
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.