The Effect

An Introduction to Research Design and Causality
2. Auflage 2025
ISBN: 978-1-032-58022-7
Verlag: Taylor & Francis Ltd

Buch, Englisch, 686 Seiten, Format (B × H): 178 mm x 254 mm

The Effect: An Introduction to Research Design and Causality, Second edition

is an excellent teaching text 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

- The second edition features a new chapter on partial identification, updated materials, methods, and writing throughout, and additional materials for help navigating the book or in using the book in teaching.

Zielgruppe

Academic

Autoren/Hrsg.

Huntington-Klein, Nick

Fachgebiete

• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

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

Über Autor(innen)

Nick Huntington-Klein is a professor of economics at Seattle University specializing in the study of the education system and applied econometrics. He is known as someone who can clearly explain complex topics in econometrics, and his teaching materials have been shared online tens of thousands of times. His daughter is not yet old enough to find this hopelessly uncool.