Prof Jörn-Steffen Pischke 32L2.16

This course is available on the BSc in Accounting and Finance, BSc in Economics, BSc in Economics and Economic History, BSc in Economics with Economic History, BSc in Government and Economics, BSc in Management Sciences, BSc in Philosophy and Economics, BSc in Social Policy and Economics, Diploma in Accounting and Finance and MSc in Economics (2 Year Programme). This course is available with permission as an outside option to students on other programmes where regulations permit and to General Course students.

Availability to General Course students is with the permission of the lecturer.

Students must have completed Elementary Statistical Theory (ST102).

Those who have taken MA107/ST107 should consider taking EC220 only if they have obtained marks of 65 or better on both courses

This course is an introduction to econometrics; it aims to present the theory and practice of empirical research in economics. Students will work with Stata analysing actual data sets. The focus of the course is on causal “what-if” questions (e.g. whether our estimates will deliver answers to questions like: “What is the effect of monetary policy on output?”).

Topics include: randomised experiments; matching, simple and multiple regression analysis; hypothesis testing; omitted variables bias; fuctional form; measurement error; instrumental variables; simultaneous equations bias and two-stage least squares; differences-in-differences and panel data; and time series data.  Applications are discussed throughout the course.

20 hours of lectures and 9 hours of classes in the MT. 20 hours of lectures and 10 hours of classes in the LT. 2 hours of classes in the ST.

EC220.B for graduate students.

Exercises are provided each week and are discussed in the classes. Students are required to hand in written answers to the exercises for correction.

J H Stock and M W Watson, Introduction to Econometrics,Pearson. Further materials will be available on the  Moodle website

Exam (100%, duration: 3 hours) in the main exam period.