The Decomposition of Correlation Coefficients into Causal Effects

R N Davidson
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R N Davidson: Department of Geography, University of Hull, Hull HU6 7RX, England

Environment and Planning A, 1977, vol. 9, issue 7, 805-812

Abstract: The correlation coefficient is commonly used, yet its potential for drawing causal inferences is hardly tapped. Given even quite a simple correlation matrix, any coefficient may be readily decomposed into direct and indirect effects; joint effects with other specified variables; and coordinated error effects due to unspecified causes. A worked example relating to crime rates is given.

Date: 1977
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:9:y:1977:i:7:p:805-812

DOI: 10.1068/a090805

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