Structure and contents
This training will combine sessions for discussion on fundamental concepts related to employment interventions, sessions focused on properties of different techniques for impact evaluation and lab sessions with STATA for applying the estimation techniques to real data.
The programme will be organized around the following blocks:
Employment indicators and typical employment promotion interventions: Decent work indicators will be explored and their measurement will be discussed. The most typical designs of employment promotion interventions will be reviewed together with the existing empirical evidence of their impact.
Introduction to STATA: A series of basic exercises will be undertaken to analyse data commonly associated with employment promotion interventions, such as employment, unemployment duration, wages, job mobility, among others.
Quantitative methods for estimating impact: Key concepts, alternative methods, common threats and pitfalls will be thoroughly discussed and the different estimation techniques will be applied to data through exercises.
- Concepts of causality and counterfactual; the challenges of counterfactual estimation
- Randomized control trials: The benefits and methods of randomization
- Quasi-experimental methods: Differences-in-differences, regression discontinuity, and matching methods
- Combining methods: The benefits of combining methods in one assessment to override the limitation of each method alone.
Live case studies and group work: Participants will have the opportunity to share their projects/programmes and explore the most pertinent impact evaluation technique to be used. Working in groups and benefiting from the experts' advice, the evaluation design will be developed for each of the selected project/programme.