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ECON50580

Academic Year 2024/2025

PhD Econometrics 2 (ECON50580)

Subject:
Economics
College:
Social Sciences & Law
School:
Economics
Level:
5 (Doctoral)
Credits:
10
Module Coordinator:
Professor Christopher Jepsen
Trimester:
Spring
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

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

About this Module

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
Regression discontinuity
Synthetic controls
Limited dependent variables
Propensity score analysis (time permitting)

Student Effort Hours:
Student Effort Type Hours
Autonomous Student Learning

176
Lectures

24
Total

200

Approaches to Teaching and Learning:
Active learning (replication exercise)
Problem-based learning (final exam)
Critical reflection (homework assignments)
Presentation skills (replication exercise)

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 Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Individual Project: Each student will replicate the main finding in a recent working / published paper in their field. Students will do a small extension, and they will present their results. Week 10, Week 11, Week 12 Alternative linear conversion grade scale 40% No
50
 No
Exam (In-person): In person final exam Week 14 Alternative linear conversion grade scale 40% No
40
 No
Quizzes/Short Exercises: Periodic homework assignments throughout the term - not sure on exact weeks at this point. Week 2, Week 3, Week 4, Week 5, Week 6, Week 7, Week 8, Week 9 Alternative linear conversion grade scale 40% No
10
 No

Carry forward of passed components
No
 

Resit In Terminal Exam
Summer Yes - 2 Hour
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) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 33 Fri 10:00 - 11:50
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