Repeated Binary Logit: Analysing Variation in Behavioural Loyalty - Archive ouverte HAL Access content directly
Journal Articles Australasian Marketing Journal Year : 2005

Repeated Binary Logit: Analysing Variation in Behavioural Loyalty

(1) , (2)
1
2

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.
Not file

Dates and versions

hal-00818687 , version 1 (28-04-2013)

Identifiers

Cite

Gilles Laurent, Cam Rungie. Repeated Binary Logit: Analysing Variation in Behavioural Loyalty. Australasian Marketing Journal, 2005, 13 (2), pp.27-36. ⟨10.1016/S1441-3582(05)70075-6⟩. ⟨hal-00818687⟩

Collections

HEC
30 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More