The Effect: An Introduction to Research Design and Causality is about research design, specifically concerning research that uses non-experimental data to figure out whether one thing causes another. 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?
Introduction Finding Stuff in this Book Part I. The Design of Research 1 Designing Research 2 Research Questions 3 Describing Variables 4 Describing Relationships 5 Identification 6 Causal Diagrams 7 Drawing Causal Diagrams 8 Causal Paths and Closing Back Doors 9 Finding Front Doors 10 Treatment Effects 11 Causality with Less Modeling Part II. The Toolbox 12 Opening the Toolbox 13 Regression 14 Matching 15 Simulation 16 Fixed Effects 17 Event Studies 18 Difference-in-Differences 19 Instrumental Variables 20 Regression Discontinuity 21 Partial Identification 22 A Gallery of Rogues: Other Methods 23 Under the Rug Bibliography Index
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