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Mediation in causal log-linear models

Author

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  • Gloria Gheno

    (Ca'Foscari University of Venice and ECLT)

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.

Suggested Citation

  • Gloria Gheno, 2016. "Mediation in causal log-linear models," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 5(3), pages 33-49, September.
    • Handle: RePEc:sek:jijoes:v:5:y:2016:i:3:p:33-49
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    More about this item

    Keywords

    Causal effects; customer satisfaction; interaction; log-linear model; mediation; parallel mediators;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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