Tag: Policy Impact Evaluation

  • PIE: Ex Post Evaluation: Establishing Causality without Experimentation

    So far, we discussed evaluation based on ex ante Randomised Control Trials (RCT). In ex post experiments, we have an another opportunity for an evaluation. However, there are strong limitations: Treatment manipulation is no longer possible, observational data only (i.e. the outcome of social processes), and baseline may be missing To address these issues, the […]

  • PIE: Ex Ante Evaluations: Randomised Control Trials

    For a Randomised Control Trial (RCT) several elements are necessary. Evaluators need to be involved long before it ends – ideally from the conception. Randomisation must take place. The operationalisation and measurement must be defined. The data collection process and the data analysis must be performed rigorously. Randomisation and the data collection process is what […]

  • PIE: The Fundamental Problem of Causal Inference

    We evaluate policies for a multitude of reasons. On the one hand, we wish to increase our knowledge and learn about its underlying function to improve program design and effectiveness. On the other hand, considerations from economy, society, and politics are the reason behind the evaluation. This may include allocation decisions via cost-benefit analysis (economic), […]