Construct · 1 fields · 1 citations

fundamental problem of causal inference: a standalone construct

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Statistics

the impossibility of observing both potential outcomes for the same unit, so individual causal effects cannot be directly observed.

In statistics, fundamental problem of causal inference refers to the impossibility of observing both potential outcomes for the same unit, so individual causal effects cannot be directly observed. This meaning comes from Holland (1986) in Journal of the American Statistical Association.[1]

Unit
Recovery means
Measured by

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Nearby constructs

causation6 fields · 15 citationsjingle · one name, six constructs association4 fields · 4 citationsjingle · one word, four constructs inference3 fields · 5 citationsjingle · one word, three constructs

References

Holland, P. W. (1986). Statistics and Causal Inference. Journal of the American Statistical Association, 81(396), 945-960. https://doi.org/10.1080/01621459.1986.10478354

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