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 exercises with a statistical software for applying the techniques to real data.
The programme will be organized around the following contents:
Employment indicators and typical employment promotion interventions: Concepts as decent work, employability skills, entrepreneurship and women’s empowerment will be explored and their measurement will be discussed. The most typical designs of employment promotion interventions will be reviewed together with the evidence of the identified results.
Introduction to statistical packages: Using a user-friendly statistical software, a series of basic exercises will be undertaken to analyse trends in employment indicators and other outcomes commonly associated with employment promotion interventions, such 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.
The implementation of an impact evaluation: preparing an evaluation plan, choosing the sample, collecting and analyzing data, disseminating the findings.