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Data and methods for learning what works - 6th edition
Browse 'Case studies in Microeconomic Evaluation' series
The aim of the training is to share good practice 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.
October 9, 2025 14:00-17:30 / October 10, 9:30-12:30
Albert Borschette Congress Center, Room 2B – Brussels
Each methodology will be explained with a real case study example, and presentation will be divided into 3 sections:
Presentations will be given by JRC- S.3.CC-ME; discussants come from the Partner DG
October 9th: 14:00 – 17:30 | |
Opening | Introduction by Marek Havrda, Regulatory Scrutiny Board (RSB) |
Introduction | "Causality and impact evaluation", by Paolo Paruolo (CC-ME) |
Method 1 | Difference-in-differences (did) |
Case study "The Impact of Financial Support to Firms During Crises: The Case of COVID Aid in the EU", by Alessandro Sasso (CC-ME) | |
Partner: DG COMP Discussant: Giuseppina Cannas | |
Method 2 | Propensity score (psm) |
Case study "Impact evaluation of Ireland’s Active Labour Market Policies", by Fabio Berton (CC-ME) | |
Partner: DG EMPL Discussant: Nora Wukovits-Votzi | |
October 10th: 9:30 – 12:30 | |
Method 3 | Instrumental variable (IV) |
Case study "To work or not to work? The effect of higher pension age on cardiovascular health", by Chiara Ardito (CC-ME) | |
Partner: DG EMPL Discussant: Eva Schoenwald | |
Method 4 | Regression Discontinuity Design (RDD) |
Case study "The Causal Effects of R&D Grants: Evidence from a Regression Discontinuity", by Pietro Santoleri (CC-ME) | |
Partner: DG RTD Discussant: Daniel Neicu | |
| Originally Published | 24 Feb 2026 |
| Knowledge service | Metadata | Microeconomic Evaluation (CC-ME) |