Statistical Models and Causal Inference: A Dialogue with the Social Sciences
Essays by David A. Freedman explore the use and limitations of statistical models for causal inference in social science research.
About This Book
Statistical Models and Causal Inference: A Dialogue with the Social Sciences presents a series of essays examining the application of statistical methods to social science research.
The book addresses the challenges and limitations of using statistical models to infer causality from observational data.
Topics include model specification, the interpretation of regression results, and the importance of substantive knowledge in statistical analysis.
Readers will find discussions on the assumptions underlying common statistical techniques and their implications for research conclusions.
Reviews
No reviews yet. Be the first to review this book!