Dr Michael Gmeiner (Michaelmas term) 

Dr Xavier Jaravel (Lent term) 

This course is available on the MSc in Econometrics and Mathematical Economics and MSc in Economics. This course is available with permission as an outside option to students on other programmes where regulations permit.

Students must have completed Introductory Course for MSc EME (EC451) and Introductory Course in Mathematics and Statistics (EC400).

Knowledge of econometric theory and applied econometrics is expected. Students must be prepared to read journal articles with difficult mathematical and statistical content.

The course will focus on going through modern quantitative papers which demonstrate the application of econometric techniques to modelling the behaviour of individual economic agents (households and firms) and economies. The first half of the course will focus on papers in the empirical literature on industrial organisation, labour economics, and a wide range of topics in applied micro-econometrics illustrating the challenges of identification in both structural and reduced form models. The focus of the content is on methods, however the papers covered as examples of those methods use data and study economic questions from a variety of countries and settings. A goal of the content is to provide a diverse view of economic research. The lectures will illustrate the interplay between models, data, and methods.

The second part of the course focuses on macroeconomic questions using data and tools from applied microeconomics. We cover four styles of empirical work: (1) “reduced-form” approaches (including difference-in-differences, event studies, instrumental variables, and Bartik research designs); (2) structural models; (3) “sufficient statistics” research designs, at the intersection of structural and reduced-form methods; and (4) machine learning techniques. Topics covered include the effectiveness of fiscal stimulus, measurement of inflation, directed technical change, from trade, the macroeconomic impact of financial frictions over the business cycle, the macroeconomic impact of unemployment insurance, and the effect of Artificial Intelligence on the labour market.

20 hours of lectures and 10 hours of seminars in the MT. 20 hours of lectures and 9 hours of seminars in the LT. 1 hour of seminars in the ST.

There will be a reading week in Week 6 of LT only (no lectures or classes that week).

This course is delivered through a combination of classes and lectures totalling a minimum of 60 hours across Michaelmas Term, Lent Term and Summer Term. 

During Michaelmas term and Lent term, students will work on their essay and receive feedback from the instructors (defining the research question, choosing a research design, etc.). Formative assignments in Michaelmas term will involve a project proposal and and referee reports on papers that are discussed in seminars. In Lent term, formative assignments will move students toward creating a draft of the paper and providing feedback to peers.

Articles in economic journals will be assigned at the start of Michaelmas and Lent terms. The course will also draw on methodological topics covered in Wooldridge, Econometric Analysis of Cross Section and Panel Data (2nd edition, 2010), Greene, Econometric Analysis (7th edition, 2012), and Angrist and Pischke, Mostly Harmless Econometrics (2009).

Exam (50%, duration: 2 hours, reading time: 15 minutes) in the summer exam period.
Essay (50%, 6000 words) in the ST.