Causal Inference: The Mixtape - eBook
Causal Inference: The Mixtape by Scott Cunningham is a modern and accessible introduction to the methods used to determine cause-and-effect relationships in the social sciences. Designed for students, researchers, and practitioners, the book explains how economists and social scientists identify causal relationships in complex real-world situations.
Causal inference provides the analytical tools necessary to distinguish causation from correlation, one of the most fundamental challenges in economics and social science research. Through engaging explanations and practical examples, Cunningham demonstrates how researchers analyze real-world issues such as:
The impact of minimum wage increases on employment
The effects of early childhood education on incarceration rates
The role of public health interventions like malaria nets on economic development
Unlike many technical textbooks, Causal Inference: The Mixtape presents advanced statistical ideas in an approachable way. The book introduces widely used econometric and research methods while guiding readers through practical applications using programming tools such as R and Stata.
Clear explanations of modern causal inference techniques
Real-world policy and economic examples
Step-by-step modeling approaches
Practical coding demonstrations using R and Stata
Ideal for students studying economics, public policy, and social science research
By combining theory with applied analysis, this book helps readers understand how researchers identify causal relationships and evaluate the effectiveness of policies and interventions in the real world.
For anyone interested in econometrics, policy analysis, or data-driven research, Causal Inference: The Mixtape provides a practical and engaging guide to one of the most important analytical frameworks in modern social science. 📘📊
