University of St Andrews

Key information

SCOTCAT credits : 15

ECTS credits : 7

Level : SCQF level 11

Semester: 2

Planned timetable: Monday 10:00 (lectures); Tuesday 15:00 (tutorials)

This module discusses various methods for plausibly estimating causal effects in econometrics. These methods include randomized experiments, instrumental variables, difference-in-differences, synthetic controls, and regression discontinuity designs. Propensity score matching will also be discussed. The theoretical bases for these methods will be presented along with empirical examples from labour, development, education, health, and other fields in economics. Students will focus on interpretation of results and how to implement the methods using data in Stata. Assessments will include a problem set and a class test.

Relationship to other modules

Pre-requisite(s): EC5203 or with the permission of the Director of Postgraduate Taught Programmes

Anti-requisite(s): You cannot take this module if you take EC4425. You cannot take this module if you take EC5612

Learning and teaching methods and delivery

Weekly contact: 20 hours of lectures over 11 weeks, 1-hour tutorial (x 5 weeks)

Scheduled learning hours: 25

Guided independent study hours: 130

Assessment pattern

As used by St Andrews: Coursework = 100%

As defined by QAA
Written examinations : 0%
Practical examinations : 0%
Coursework: 0%

Re-assessment: 100% Written Examination

Personnel

Module coordinator: Professor D A Jaeger
Module teaching staff: Prof David Jaeger
Module coordinator email david.jaeger@st-andrews.ac.uk

Intended learning outcomes

• Understand the methods used for causal inference in empirical economics
• Assess the validity of published empirical research that uses causal inference methods
• Apply causal inference methods in Stata or other statistical packages using data
• Propose original research that employs causal methods to estimate the effect of policies or other phenomena