ECON50580 PhD Econometrics 2

Academic Year 2021/2022

This course covers state-of-the-art methods of causal inference.

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Curricular information is subject to change

Learning Outcomes:

By the end of this course, students should be able to:

- develop credible identification strategies
- critically evaluate methods of causal inference
- apply methods of causal inference to answer economic questions

Indicative Module Content:

The course will cover the following:

Basics of causality
Directed acyclical graphs & potential outcomes
Difference-in-Difference estimation
Instrumental variables
Marginal treatment effects
Regression discontinuity and kink designs
Synthetic controls
Bounding

Student Effort Hours: 
Student Effort Type Hours
Lectures

24

Autonomous Student Learning

176

Total

200

Approaches to Teaching and Learning:
Active learning (replication exercise)
Group work (problem sets)
Problem-based learning (problem sets)
Critical reflection (referee report) 
Requirements, Exclusions and Recommendations
Learning Requirements:

Requires prior knowledge of advanced econometrics. Students should have taken PhD Econometrics 1.


Module Requisites and Incompatibles
Additional Information:
It is recommended that students have taken PhD Econometrics I before taking this course. However, this is not strictly necessary. The minimum requirement is M.Sc-level econometrics and/or statistics. When in doubt, contact the module coordinator.


 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Continuous Assessment: Problem sets and other assignments Throughout the Trimester n/a Graded No

50

Examination: Final exam 2 hour End of Trimester Exam No Graded No

50


Carry forward of passed components
No
 
Remediation Type Remediation Timing
In-Module Resit Prior to relevant Programme Exam Board
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Assoc Professor Stefanie Haller Lecturer / Co-Lecturer
Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 
Spring
     
Lecture Offering 1 Week(s) - 19, 20, 21, 22, 23, 24, 25, 28, 29, 30, 31, 32 Tues 10:00 - 11:50