The Effect: An Introduction to Research Design and Causality is about research design
specifically concerning research that uses observational data to make a causal inference. It is
separated into two halves each with different approaches to that subject. The first half goes
through the concepts of causality with very little in the way of estimation. It introduces the
concept of identification thoroughly and clearly and discusses it as a process of trying to
isolate variation that has a causal interpretation. Subjects include heavy emphasis on
data-generating processes and causal diagrams. Concepts are demonstrated with a heavy emphasis
on graphical intuition and the question of what we do to data. When we "add a control variable"
what does that actually do? Key Features: ¿ Extensive code examples in R Stata and Python
¿ Chapters on overlooked topics in econometrics classes: heterogeneous treatment effects
simulation and power analysis new cutting-edge methods and uncomfortable ignored assumptions
¿ An easy-to-read conversational tone ¿ Up-to-date coverage of methods with fast-moving
literatures like difference-in-differences
