Spurious Correlation: A Causal Interpretation*
- 1 September 1954
- journal article
- research article
- Published by Taylor & Francis in Journal of the American Statistical Association
- Vol. 49 (267) , 467-479
- https://doi.org/10.1080/01621459.1954.10483515
Abstract
To test whether a correlation between two variables is genuine or spurious, additional variables and equations must be introduced, and sufficient assumptions must be made to identify the parameters of this wider system. If the two original variables are causally related in the wider system, the correlation is “genuine.”Keywords
This publication has 4 references indexed in Scilit:
- Actions, Consequences, and Causal RelationsThe Review of Economics and Statistics, 1952
- Toward Partial Redirection of EconometricsThe Review of Economics and Statistics, 1952
- On the Definition of the Causal RelationThe Journal of Philosophy, 1952
- Identification Problems in Economic Model ConstructionEconometrica, 1949