This course provides an introduction to applied microeconometric program evaluation and thereby creates a valuable basis for understanding a wide range of empirical work not only in economics but also in management, sociology, or political science. Understanding how specific policies/historical events/institutions affect human beings is at the very heart of empirical research in social sciences. Although these questions appear universally, the answers are complicated by the fact that the clean identification of cause and effect goes far beyond the demonstration of naive correlations. This course introduces empirical methods that explicitly aim at distinguishing naive correlation from actual causation. Among the methods discussed are fixed effects strategies, difference-in-differences approaches, instrumental variable techniques, regression discontinuity designs, and field experiments with random assignment to treatment. After a theoretical introduction to the respective methods, seminal empirical research papers applying these methods are discussed in detail. These research papers improve our understanding of how we can apply microeconometric techniques to answer policy relevant questions in a causal way.