Book contents
- Multiverse Analysis
- Analytical Methods for Social Research
- Multiverse Analysis
- Copyright page
- Contents
- Figures
- Tables
- Acknowledgments
- Part I Introduction
- Part II The Computational Multiverse
- 3 Hurricane Names
- 4 The Multiverse Algorithm
- 5 Empirical Multiverses
- 6 Influence Analysis and Scope Conditions
- 7 Good and Bad Controls
- 8 Some Alternative Approaches
- Part III Expanding the Multiverse
- Appendix: Coding with MULTIVRS in Stata
- References
- Index
3 - Hurricane Names
An Applied Introduction
from Part II - The Computational Multiverse
Published online by Cambridge University Press: 28 February 2025
Book contents
- Multiverse Analysis
- Analytical Methods for Social Research
- Multiverse Analysis
- Copyright page
- Contents
- Figures
- Tables
- Acknowledgments
- Part I Introduction
- Part II The Computational Multiverse
- 3 Hurricane Names
- 4 The Multiverse Algorithm
- 5 Empirical Multiverses
- 6 Influence Analysis and Scope Conditions
- 7 Good and Bad Controls
- 8 Some Alternative Approaches
- Part III Expanding the Multiverse
- Appendix: Coding with MULTIVRS in Stata
- References
- Index
Summary
Are female hurricanes more deadly? In this chapter we demonstrate multiverse analysis using analytical inputs from many scholars in a high-profile empirical debate. In results from more than 10,000 model specifications, only 12 percent of estimates are statistically significant and 99 percent are smaller in magnitude than what the original authors reported. Multiverse analysis shows that some published findings are extremely weak and nonrobust.
- Type
- Chapter
- Information
- Multiverse AnalysisComputational Methods for Robust Results, pp. 37 - 42Publisher: Cambridge University PressPrint publication year: 2025