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Econometrics of Programme Evaluation

Please note to take this course you must first have completed Microeconometrics and Panel Data Econometrics

This course will provide participants with the essential tools, both theoretical and
applied for proper use of modern microeconometric methods for policy evaluation and causal
counterfactual modelling. The course will cover various approaches, namely: Regression Adjustment
(parametric and nonparametric), Matching (on covariates and on propensity score), Reweighting and
Double-robust methods, Selection models, Instrumental-Variables approaches, Difference-in-Differences,
and Regression Discontinuity Design. 

Each student should be able to read and understand applications from different policy sub-fields, such as finance and banking, the labour market, the investment activities of enterprises, education policy and regional cooperation, incentives for business research and development, etc.

This module can be taken as part of a PG Certificate, PG Diploma or Full Masters Program. 

Key Skills

Set up and manage a correct evaluation design, either under observable or unobservable selection.

Identify, collect, and organize datasets for a correct ex-post program evaluation. 

Understand the theoretical underpinnings of the most widely studied econometric models for program evaluation, using mainly intuitive examples and graphical approaches.

Select the appropriate methods to use and interpret results accordingly.

By the end of this course, participants should have knowledge and ability to: 

Desired Skills

Engage in abstract thinking by extracting the essential features of complex systems to facilitate problem solving and decision-making.

Communicate and present complex arguments in oral and written form with clarity and succinctness.

Apply basic statistical techniques to analyse economic and financial datasets. 

Present, interpret and analyse information in numerical form. 

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



Econometrics of Program Evalutaion is an elective 10 credit course and therefore students are expected to input approximately 100 hours of study into the course.


The total number of contact hours is 15 hours. This leaves 85 hours for private study.



This module consists of 2 - hour lectures per day for 5 days, plus a 1 - hour tutorial per day. 

 There will be optional clinics on the last day of the course.   

The dates of each lecture are confirmed closer to the start of each term. If you have any questions about dates, please contact

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