Mr Ragvir Sabharwal and Dr Marcia Schafgans

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 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.

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

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

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. 

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

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

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

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

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

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