This course is divided into two parts. The first part focuses on learning about empirical methods and gaining familiarity with widely-used microeconomic data sources. Importantly, students will learn how to apply these methods and tools on microdata to establish empirical patterns and causal relationships. The second part focuses on learning about computational methods to solve macroeconomic models. The objective here is to gain theoretical insights that are testable against microeconomic data and useful to inform policy makers.