Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- Part I Foundations
- 2 Causal Models
- 3 Illustrating Causal Models
- 4 Causal Queries
- 5 Bayesian Answers
- 6 Theories as Causal Models
- Part II Model-Based Causal Inference
- Part III Design Choices
- Part IV Models in Question
- Part V Appendices
- Bibliography
- Index
3 - Illustrating Causal Models
from Part I - Foundations
Published online by Cambridge University Press: 13 October 2023
Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- Part I Foundations
- 2 Causal Models
- 3 Illustrating Causal Models
- 4 Causal Queries
- 5 Bayesian Answers
- 6 Theories as Causal Models
- Part II Model-Based Causal Inference
- Part III Design Choices
- Part IV Models in Question
- Part V Appendices
- Bibliography
- Index
Summary
This chapter illustrates how we can express theoretical ideas in the form of a causal model by translating three arguments from published social science research into models. We illustrate using Paul Pierson’s (1994) work on welfare-state retrenchment, Elizabeth Saunders’ (2011) research on military intervention strategies, and Adam Przeworski and Fernando Limongi’s (1997) study of the relationship between national wealth and democracy.
- Type
- Chapter
- Information
- Integrated InferencesCausal Models for Qualitative and Mixed-Method Research, pp. 59 - 73Publisher: Cambridge University PressPrint publication year: 2023