Abstract
The chapter proposes a severity of dormancy model (SDM), which allows the potential dormancy and the extent of dormancy to be modeled separately and is attempted for one of the key retail businesses for a large European business. The methodology developed in this chapter challenges the conventional wisdom of building a dormancy model using a logistic regression technique. It recognizes the existence of a group of potential dormant customer who would never go dormant under any circumstances. Most importantly, it not only recognizes this subset of customers, but also explicitly models the probability of the extent of dormancy to depend on customer attributes. Finally, the chapter successfully demonstrates the improvement achieved by the SDM over the conventional technique to capture the severity of dormancy.
This chapter contains contributions from S. Raja Sethu Durai, Madras School of Economics, Chennai, India.
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References
Cragg JG (1971) Some statistical models for limited dependent variables with application to the demand for durable goods. Econometrica 39(5):829–844
Dionne G, Artis M, Guillen M (1996) Count data models for a credit scoring system. J Empir Finance 3(3):303–325
Espineira RM (2004) A box-cox double-hurdle model of wildlife valuation: the citizen’s perspective. IN: Chapter presented on the Sixth Annual BIOECON Conference held at Kings College Cambridge, 2–3 Sept 2004
Gupta S, Lehmann D, Stuart J (2004) Valuing customers. J Mark Res 41(1):7–18
Hand DJ, Henley WE (1997) Statistical classification methods in consumer credit. J R Stat Soc Series A 160:523–541
Jones A (1989) A double-Hurdle model of cigarette consumption. J Appl Econ 4(1):23–39
Moffat P (2005) Hurdle models of loan default. J Oper Res Soc 56:1063–1071
Rosenberg E, Gleit A (1994) Quantitative methods in credit management: a survey. Oper Res 42:589–613
Thomas LC (1998) Methodology for classifying applicants for credit” statistics in finance. Edward Arnold, London, pp 83–103
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Bhaduri, S.N., Fogarty, D. (2016). Severity of Dormancy Model (SDM): Reckoning the Customers Before They Quiescent. In: Advanced Business Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-10-0727-9_2
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DOI: https://doi.org/10.1007/978-981-10-0727-9_2
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