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Identifying culture as cause: Challenges and opportunities.
Sirio Lonati1, Rafael Lalive2, Charles Efferson2
1NEOMA Business School - Reims Campus, Reims, France.
Evolutionary Human Sciences
|February 21, 2024
Summary
This paper explores methods for determining culture's causal effects. It reviews research designs and statistical tools, including instrumental variables and regression discontinuity, to approximate ideal experiments in cultural evolution studies.
Area of Science:
- Social Sciences
- Evolutionary Studies
- Cultural Evolution
Background:
- Causal inference is crucial in science but challenging when studying culture's influence.
- Identifying culture's specific causal impact on various outcomes requires robust methodologies.
Purpose of the Study:
- To review research designs and statistical tools for assessing the causal impact of culture.
- To highlight overlooked strategies in cultural evolutionary studies that approximate experimental conditions.
Main Methods:
- Review of existing literature on causal inference in social sciences.
- Discussion of specific methods: instrumental variables, regression discontinuity design, and epidemiological approaches.
- Explanation of the potential outcome framework for causal reasoning.
Main Results:
- Overlooked strategies can approximate random assignment of culture, enabling stronger causal claims.
- The potential outcome framework provides a structured approach to causal reasoning in cultural evolution.
- Integration of theory, context, and statistical tools is essential for valid causal inference.
Conclusions:
- Advanced research designs and statistical tools can effectively isolate culture's causal effects.
- Applying these methods enhances the rigor of cultural evolutionary studies.
- This work provides a framework for future research on culture as a causal force.
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