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Knowledge4Policy
Knowledge for policy

Competence Centre on Microeconomic Evaluation (CC-ME)

We advise and support EU policy making through ex-post causal evaluation and data-driven microeconomic analysis.

  • Page | Last updated: 05 Feb 2025

Training

The CC-ME offers a variety of training initiatives which bring together academics, practitioners and policy makers, in order to discuss and share good practices on the evaluation process and disseminate advanced research methodologies.

CIE summer weeks

The aim of the CIE summer weeks is to share good practices of evaluation of public programmes and to provide training on CIE methods to policy officers and researchers from European Commission, policy and research institutions interested in counterfactual impact evaluation and their applications.

Details

Decorative
(© EC)

Case Studies in Microeconomic Evaluation

The aim of the training is to share good practices in evaluation of impacts of EU policies. The focus is on how to use causal methodologies to inform the evaluation process, from the design to the choice of data, to the analysis and to the interpretation of results.

Details 

CC-ME Case Studies
(© EC)

CC-ME Seminar Series

The Competence Centre on Microeconomic Evaluation (CC-ME) hosts a Microeconometric Seminar Series to promote discussions with external researchers from academia and other institutions. Moreover, it is intended to disseminate advanced research methodologies and topics in the field of microeconomic evaluation.

Details    

CC-ME Seminars
(© EC)

COMPIE Conference

Counterfactual Methods for Policy Impact Evaluation - COMPIE

The COMPIE conference series brings together practitioners and academics to discuss developments in the theory and the applications of counterfactual methods for policy impact evaluation. Applications can cover a broad range of interventions, from labor and social policy to regulation and funding programmes, ideally with a focus on EU policies.

Details  

CC-ME Conference
(© EC)

Video (Tutorials)

Randomized controls trials and matching methods
 

Regression discontinuity design
 

Difference in difference
 

Instrumental variables
 

Finding a control group when everybody is treated
 

What is administrative data?
 

Data for Evaluation
 

 

Randomized controls trials and matching methods

Regression discontinuity design

Difference in difference

Instrumental variables

Finding a control group when everybody is treated.

What is administrative data?

Data for Evaluation