MEDIATION IN CAUSAL LOG-LINEAR MODELS
GLORIA GHENO
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
DOI: 10.52950/ES.2016.5.3.003
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APA citation:
GLORIA GHENO (2016). Mediation in causal log-linear models. International Journal of Economic Sciences, Vol. V(3), pp. 33-49. , DOI: 10.52950/ES.2016.5.3.003
Data:
Received: 15 Jun 2016
Revised: 10 Aug 2016
Accepted: 6 Sep 2016
Published: 20 Sep 2016
Copyright © 2016, Gloria Gheno et al, gloriagheno@libero.it