M-bias, Butterfly Bias, and Butterfly Bias with Correlated Causes – A Comment on Ding and Miratrix (2015)

Thoemmes Felix ()
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Thoemmes Felix: Human Development, Cornell University, MVR G62A, Ithaca, NY 14853, USA

Journal of Causal Inference, 2015, vol. 3, issue 2, 253-258

Abstract: Ding and Miratrix [1] recently concluded that adjustment on a pre-treatment covariate is almost always preferable to reduce bias. I extend the examined parameter space of the models considered by Ding and Miratrix, and consider slight extensions of their models as well. Similar to the conclusion by Pearl [7], I identify constellations in which bias due to adjustment, or failing to adjust is symmetrical, but also confirm some findings of Ding and Miratrix.

Keywords: M-bias; causal inference; butterfly bias (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:bpj:causin:v:3:y:2015:i:2:p:253-258:n:9

DOI: 10.1515/jci-2015-0012

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