Mediation in causal log-linear models

Gloria Gheno ()
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Gloria Gheno: Ca'Foscari University of Venice and ECLT

International Journal of Economic Sciences, 2016, vol. 5, issue 3, 33-49

Abstract: The analysis of the causality is important in many fields of research. To obtain the causal effects in a causal log-linear model I propose a theory, using the odds ratio and the concepts proposed by Pearl, whenever possible. I start calculating the effects in a simple mediation model where I analyze a new interaction effect, which I call cell. After I calculate the effects in a mediation model with two parallel mediators. If they are correlated, Pearl's theory cannot be used and no alternative theory has been proposed so far. To resolve this issue I present a new concept of causality. The mediation models are essential in the marketing, then to it, for a more complex analysis, I apply my causal theory.

Keywords: Causal effects; customer satisfaction; interaction; log-linear model; mediation; parallel mediators (search for similar items in EconPapers)
JEL-codes: C30 C39 M31 (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:sek:jijoes:v:5:y:2016:i:3:p:33-49

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