Policy Evaluation Using Causal Inference Methods

Denis Fougère (1) , Nicolas Jacquemet (2)

1 OSC - Observatoire sociologique du changement (Sciences Po, CNRS)
2 CES - Centre d'économie de la Sorbonne

This working-paper describes the main impact evaluation methods, both experimental and quasi-experimental, and the statistical model underlying them. Some of the most important methodological advances to have recently been put forward in this field of research are presented. We focus not only on the need to pay particular attention to the accuracy of the estimated effects, but also on the requirement to replicate assessments, carried out by experimentation or quasi-experimentation, in order to distinguish false positives from proven effects

Mots clés: causal inference; evaluation methods; causal effetcs; statistics

Domaines: Economies et finances

Denis Fougère, Nicolas Jacquemet. Policy Evaluation Using Causal Inference Methods. 2020. ⟨hal-03455978⟩