Autorentext

Aboozar Hadavand is Professor of Computational Sciences at Minerva University. For the past ten years, he has taught statistics, causal inference, and their applications in the social sciences, especially economics, at Barnard College of Columbia University, Brooklyn College, and Minerva University. He is the co-founder of the website Cauzl, which aims to teach causal inference to undergraduate students. His research in economics and causal inference has been published in journals such as the Journal of Economic Literature (JEL) and the Journal of the American Medical Association (JAMA).

Klappentext

Cause, Effect, and Everything in Between introduces readers to causal inference: the science of cause-and-effect. Using examples and case studies, Aboozar Hadavand provides an accessible introduction to the fundamental concepts and methodology of causal inference. By the end of the book, readers are equipped to interpret and assess causal claims in scientific research and political arguments, thus able to make better-informed decisions.

Inhalt

• Preface

• 1: What Is Causality?

• 2: The Causal Framework

• 3: Causal Graphs and Causal Paths

• 4: Causal Inference Using Interventional Data

• 5: Causal Inference Using Observational Data

• 6: Quasi-Experimental Methods

• 7: A Framework for Evaluating Causal Studies

• 8: Causal Case Studies

• Answers to End-of-Chapter Questions

• Index