EC2C4      Half Unit
Econometrics II

This information is for the 2023/24 session.

Teacher responsible

Dr Ragvir Sabharwal, SAL 1.28A.

Dr Marcia Schafgans, SAL 4.12.

Availability

This course is compulsory on the 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 Data Science, BSc in Environment and Development, BSc in Environment and Sustainable Development, BSc in Geography with Economics, BSc in Mathematics and Economics, BSc in Mathematics with Data Science, BSc in Mathematics with Economics, BSc in Mathematics, Statistics and Business, BSc in Philosophy, Politics and Economics, BSc in Philosophy, Politics and Economics (with a Year Abroad) 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.

Note, EC2C4 is mutually exclusive with EC220, EC221 and MG205.

Pre-requisites

Students must have completed Econometrics I (EC2C3), or equivalent.

Course content

This course builds on the material learned in EC2C3.  The focus of the course is the underlying theory of empirical research in economics: estimation methods, properties of estimators (unbiasedness, standard error formula, sampling distribution, consistency) and hypothesis testing. Topics include: Bivariate and multiple regression (estimation, inference, asymptotic property); heteroskedasticity; endogeneity (omitted variables and simultaneity); instrumental variables and two-stage least squares; binary choice models; and time series analysis. 

Teaching

30 hours of lectures and 9 hours of classes in the WT. 1 hour of classes in the ST.

There will be a reading week in Week 6 of WT, during which there will be no lectures or classes.

Student learning will be supported through the EC2C4 Support Lab, some help sessions and through a dedicated discussion forum.

Formative coursework

Students are expected to engage with the weekly problem sets each week. Two of these will be marked and feedback provided.

Indicative reading

• J. Wooldridge Introductory Econometrics. A Modern Approach, Cengage

Assessment

Exam (100%, duration: 2 hours, reading time: 15 minutes) in the spring exam period.

Key facts

Department: Economics

Total students 2022/23: 314

Average class size 2022/23: 20

Capped 2022/23: No

Lecture capture used 2022/23: Yes (LT)

Value: Half Unit

Guidelines for interpreting course guide information

Course selection videos

Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.

Personal development skills

  • Self-management
  • Team working
  • Problem solving
  • Application of information skills
  • Communication
  • Application of numeracy skills
  • Specialist skills