EC4425 Econometrics of Impact Evaluation
Academic year
2024 to 2025 Semester 2
Curricular information may be subject to change
Further information on which modules are specific to your programme.
Key module information
SCOTCAT credits
20
SCQF level
SCQF level 10
Availability restrictions
Available to General Degree students with the permission of the Honours Adviser
Planned timetable
When confirmed, check online https://timetables.st-andrews.ac.uk/.
Module coordinator
Prof D A Jaeger
Module Staff
Prof David Jaeger
Module description
Evaluating the causal effects of economic policies is an important but complex and challenging task. The purpose of this module is to introduce students to the core methods for evaluating the causal effect of economic policies and to apply these methods in practice. It will expose students to the concept of causality and explain under which assumptions the causal effect of economic policies can be identified. The module will have a strong focus on applications and will emphasise problems that economists encounter in practice when evaluating economic policies. Empirical examples will deal mainly with policies in labour economics and development economics. The laboratory sessions will discuss important empirical studies in the field and will provide students with the opportunity to apply empirical methods hands-on using Stata.
Relationship to other modules
Pre-requisites
BEFORE TAKING THIS MODULE YOU MUST PASS EC3301 OR PASS MT3508 OR PASS EC5203
Assessment pattern
Written Examination = 50%, Coursework (incl. Class Test 25%) = 50%
Re-assessment
2-hour Written Examination = 100%
Learning and teaching methods and delivery
Weekly contact
20 hours of lectures over 11 weeks, 1-hour laboratories (x 5 weeks).
Scheduled learning hours
25
Guided independent study hours
175
Intended learning outcomes
- Understand the concept of causality
- Be familiar with the core econometric methods for evaluating the causal effects of interventions
- Apply these econometric methods in practice using Stata
- Understand, interpret and critically assess empirical papers that analyse the causal effect of interventions