EC2C1      One Unit
Econometrics II

This information is for the 2025/26 session.

Course Convenor

Availability

Requisites

Pre-requisites:

Before taking this course, students must have completed: (MA100 or MA108) and (EC1C1 and ST109)

Additional requisites:

MSc in Economics (2 Year Programme) students can take either Mathematical Methods (MA100) or Further Mathematical Methods (MA212) alongside EC2C1.

This course builds on the knowledge learned in Econometrics I (EC1C1). In the AT part of the course, the focus is an introduction to the theory of econometrics. You will study in detail various estimators common in the literature: the least squares estimator, the instrumental variable estimator, and the maximum likelihood estimator. You will discuss how (and whether) these estimators can be used for inference purposes under a range of assumptions underlying the data generating process. Topics include the derivation of finite sample properties (unbiasedness, precision (standard error) and efficiency), asymptotic properties (consistency and asymptotic distribution), confidence intervals and hypothesis testing. Most discussions will pertain to the use of cross-sectional data and the linear model. We will consider the binary choice model as an example of a nonlinear model and will cover some aspects of time series data. Various discussions make use of matrix algebra.

In the WT part of the course, you will learn more econometric techniques, including difference-in-differences, and regression discontinuity designs that make use of panel data and you will revisit the instrumental variable technique. Teaching in WT will be based on empirical examples and you will find out how to conduct your own empirical investigation. As part of the course, you will work on an empirical project and write an individual report about your analysis and findings.

30 hours of lectures, 10 hours of help sessions and 10 hours of classes in the Autumn Term.
20 hours of lectures and 10 hours of classes in the Winter Term.

During AT, there are weekly assignments and feedback will be given on two.

During WT, there will be four homework assignments. Students are expected to give a progress report on their individual project and are given feedback on this.

• J. Wooldridge Introductory Econometrics. A Modern Approach, Cengage
• J. D. Angrist and J. S. Pischke Mastering ‘Metrics. The Path from Cause to Effect, Princeton University Press.

Exam (45%), duration: 120 Minutes, reading time: 15 minutes in the January exam period

Project (45%)

Continuous assessment (10%)