Policy-making is about making choices. In order to make an informed choice between several alternative policies, reliable information is needed on what works and what does not work. Such information is ideally based on empirical evidence. Measuring the effect of a policy requires econometric methods. This course aims to bring to the fore the recent advances in the econometrics of policy analysis. The two most commonly used approaches to causal inference are discussed: the Rubin Causal Model (RCM) and Structural Equation Models (SEM). Recent versions of Stata include implementations of these methods. This course aims to introduce the theory of the RCM and SEM and show how to apply the theory using Stata.