Non-Normal Simultaneous Regression Models for Customer Linkage Analysis

38 Pages Posted: 18 Nov 2006 Last revised: 19 Feb 2008

See all articles by Jeffrey Dotson

Jeffrey Dotson

Brigham Young University - Marriott School

Joseph J. Retzer

Maritz Research

Greg M. Allenby

Ohio State University (OSU) - Department of Marketing and Logistics

Date Written: November 1, 2007

Abstract

Simultaneous systems of equations with non-normal errors are developed to study the relationship between customer and employee satisfaction. Customers interact with many employees, and employees serve many customers, such that a one-to-one mapping between customers and employees is not possible. Analysis proceeds by relating, or linking, distribution percentiles among variables. Such analysis is commonly encountered in marketing when data are from independently collected samples. We demonstrate our model in the context of retail banking, where drivers of customer and employee satisfaction are shown to be percentile-dependent.

Keywords: Employee-customer relationship, services marketing

JEL Classification: C11, C42, M31

Suggested Citation

Dotson, Jeffrey and Retzer, Joseph J. and Allenby, Greg M., Non-Normal Simultaneous Regression Models for Customer Linkage Analysis (November 1, 2007). Available at SSRN: https://ssrn.com/abstract=945842 or http://dx.doi.org/10.2139/ssrn.945842

Jeffrey Dotson

Brigham Young University - Marriott School ( email )

United States

Joseph J. Retzer

Maritz Research ( email )

1815 S. Meyers Rd.
Suite 600
Oakbrook Terrace, IL 60181
United States
262-247-5606 (Phone)

HOME PAGE: http://home.wi.rr.com/jjrr/

Greg M. Allenby (Contact Author)

Ohio State University (OSU) - Department of Marketing and Logistics ( email )

Fisher Hall 524
2100 Neil Ave
Columbus, OH 43210
United States

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