Statistical Data Fusion for Cross-Tabulation

Kamakura, Wagner A. and Wedel, Michel, Statistical Data Fusion for Cross-Tabulation, Journal of Marketing Research, Vol. 34, No. 4, pp 485-498, 1997

Robert H. Smith School Research Paper No. 2404511

15 Pages Posted: 6 Mar 2014

See all articles by Wagner A. Kamakura

Wagner A. Kamakura

Rice University

Michel Wedel

University of Maryland - Robert H. Smith School of Business, Marketing Department; University of Groningen - Faculty of Economics and Business

Date Written: 2006

Abstract

The authors address the situation in which a researcher wants to cross­ tabulate two sets of discrete variables collected in independent samples, but a subset of the variables is common to both samples. The authors propose a statistical data-fusion model that allows for statistical tests of association using multiple imputations. The authors illustrate this approach with an application in which they compare the cross-tabulation results from fused data with those obtained from complete data. Their approach is also compared to the traditional hot-deck procedure.

Suggested Citation

Kamakura, Wagner A. and Wedel, Michel, Statistical Data Fusion for Cross-Tabulation (2006). Kamakura, Wagner A. and Wedel, Michel, Statistical Data Fusion for Cross-Tabulation, Journal of Marketing Research, Vol. 34, No. 4, pp 485-498, 1997; Robert H. Smith School Research Paper No. 2404511. Available at SSRN: https://ssrn.com/abstract=2404511

Wagner A. Kamakura (Contact Author)

Rice University ( email )

6100 South Main Street
P.O. Box 1892
Houston, TX 77005-1892
United States
(713) 348-6307 (Phone)

Michel Wedel

University of Maryland - Robert H. Smith School of Business, Marketing Department ( email )

College Park, MD 20742
United States
301.405.2162 (Phone)
301.405.0146 (Fax)

HOME PAGE: http://www.rhsmith.umd.edu/marketing/faculty/wedel.html

University of Groningen - Faculty of Economics and Business ( email )

Postbus 72
9700 AB Groningen
Netherlands

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