Let’s Talk Data and Let Data Talk: An Applied Economics Research Workshop

Catalog description

Prerequisite: a prior economics course; prior econometrics experience in statistics recommended Data are everywhere, and data contain plenty of valuable hidden information that is waiting to be uncovered. How can we use data properly to help inform policy decisions? In this research workshop, we will learn the essential skills and contemporary methods for conducting applied studies of economic, political, social, and policy issues using data. We will discuss how to properly formulate a research hypothesis, how to select and organize quantitative data, how to construct relevant variables, how to select empirical research methods, and how to present and communicate your research findings. The course will cover a range of contemporary applied research methods that emphasize causal inference, including panel data, fixed effects, difference-in-difference, matching, Regression Discontinuity Design, instrumental variables, and so on. We will start with finding correlations among variables of interest (e.g., How do X and Y relate to each other?) but will focus more on making causal inferences (e.g., Does X cause Y?). We will learn Stata, a relatively advanced statistical package used widely by the social science and science research communities. The ultimate goal of the course will be to help students write a successful applied conference project. But first, do no harm! Introduction to Economic Theory and Policy