Statistical Data Fusion for Cross-Tabulation

Wagner A. Kamakura; Michel Wedel

doi:10.1177/002224379703400406

Statistical Data Fusion for Cross-Tabulation

Wagner A. Kamakura¹; Michel Wedel²

¹ Joseph Katz Graduate School of Business, University of Pittsburgh. · ² Faculty of Economics, University of Groningen, Netherlands.

Journal of Marketing Research 1997

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.

DOI: 10.1177/002224379703400406
Volume: 34 (4)
Pages: 485-498
Language: en
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