2015•Emerging Trends in the Social and Behavioral SciencesRequires access

Causation, Theory, and Policy in the Social Sciences

Mark C. Stafford, Daniel P. Mears

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Abstract

Abstract Despite a penchant for constructing and testing causal theories, social scientists frequently avoid explicit discussion of causal issues. Illustrating with criminological literature, we argue that attention to particular causal issues will improve theory and theory testing and provide a more systematic basis for identifying policy applications. Our argument centers on a discussion of: (i) causal versus spurious effects, (ii) independent versus shared causes, (iii) reversible versus irreversible causes, including symmetric versus asymmetric causes, (iv) basic versus superficial causes, and (v) causal heterogeneity among different populations, units of comparisons, including spatial units, and types of behavior. We further suggest how researchers and policymakers can benefit from consideration of causal issues.

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What this paper is about

Abstract Despite a penchant for constructing and testing causal theories, social scientists frequently avoid explicit discussion of causal issues. Illustrating with criminological literature, we argue that attention to particular causal issues will improve theory and theory testing and provide a more systematic basis for identifying policy applications. Our argument centers on a discussion of: (i) causal versus spurious effects, (ii) independent versus shared causes, (iii) reversible versus irreversible causes, including symmetric versus asymmetric causes, (iv) basic versus superficial causes, and (v) causal heterogeneity among different populations, units of comparisons, including spatial units, and types of behavior. We further suggest how researchers and policymakers can benefit from consideration of causal issues.

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Available abstract

Abstract Despite a penchant for constructing and testing causal theories, social scientists frequently avoid explicit discussion of causal issues. Illustrating with criminological literature, we argue that attention to particular causal issues will improve theory and theory testing and provide a more systematic basis for identifying policy applications. Our argument centers on a discussion of: (i) causal versus spurious effects, (ii) independent versus shared causes, (iii) reversible versus irreversible causes, including symmetric versus asymmetric causes, (iv) basic versus superficial causes, and (v) causal heterogeneity among different populations, units of comparisons, including spatial units, and types of behavior. We further suggest how researchers and policymakers can benefit from consideration of causal issues.

Key concepts: Causation, Spurious relationship, Argument (complex analysis), Causality (physics), Causal decision theory, Causal model, Causal analysis, Causal theory of reference

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