Marketing Science 2021

Scalable Data Fusion with Selection Correction: An Application to Customer Base Analysis

Daniel McCarthy¹; Shin Oblander²

¹ Emory University · ² Columbia University

Abstract

A computationally scalable, statistically efficient aggregate-disaggregate data fusion method that corrects for selection bias is applied to model customer relationship dynamics at a subscription-based firm.

DOI

10.1287/mksc.2020.1259

Sources

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Cite

APA 7 MLA 9 Chicago (author–date) Harvard Elsevier Harvard (JFE, JBF…) The Accounting Review Academy of Management American Marketing Association INFORMS (Management Science) Copy citation Copied ✓