Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10495929 | Australasian Marketing Journal (AMJ) | 2005 | 10 Pages |
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.
Related Topics
Social Sciences and Humanities
Business, Management and Accounting
Marketing
Authors
Cam Rungie, Gilles Laurent,