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Repeated Binary Logit: Analysing Variation in Behavioural Loyalty

Author

Listed:
  • Gilles Laurent

    (HEC Paris - Recherche - Hors Laboratoire - HEC Paris - Ecole des Hautes Etudes Commerciales)

  • Cam Rungie

    (School of Marketing - University of South Australia)

Abstract

Brand and store managers are anxious to obtain high "loyalty," as operationalized by repeat purchase behaviour. In this paper, we introduce the Repeated Binary Logit (RBL) model, which analyses directly the impact of covariates on repeat purchase, and which can be described as an extension of traditional logistic regression. We present empirical applications of RBL, and we discuss its relationships to several classical models.

Suggested Citation

  • Gilles Laurent & Cam Rungie, 2005. "Repeated Binary Logit: Analysing Variation in Behavioural Loyalty," Post-Print hal-00818687, HAL.
    • Handle: RePEc:hal:journl:hal-00818687
    DOI: 10.1016/S1441-3582(05)70075-6
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    Citations

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    Cited by:

    1. Melnyk, Valentyna, 2014. "Resisting temptation: gender differences in customer loyalty in the presence of a more attractive alternative," Australasian marketing journal, Elsevier, vol. 22(4), pages 335-341.
    2. Silberhorn, Nadja & Hildebrandt, Lutz, 2009. "Is cross-category brand loyalty determined by risk aversion?," SFB 649 Discussion Papers 2009-061, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

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