Modeling Simultaneity in Survey Data

Timothy Gilbride, Sha Yang and Greg Allenby

Quantitative Marketing and Economics (QME), 2005, vol. 3, issue 4, 335 pages

Abstract: Responses to questions in a survey can reflect a behavior process that influences multiple response items. Respondent ratings of brand attributes, for example, can be affected by past purchases by making a brand more salient, or by respondents attributing higher performance to justify their purchases. When multiple response items are influenced by a common underlying process, there is simultaneity in the data. This paper proposes an approach to model the simultaneity in different survey responses by using common parameters and structural relationships motivated by behavioral theories on how consumers respond to surveys. Specifically, the proposed models show how brand usage and attribute perception responses are jointly determined by justification, order, and brand halo effects in two brand positioning studies. We detect a significant tendency for respondents to inflate their reported beliefs for particular brands as well as the selected brand across five countries in an international survey as well as in a domestic study. Copyright Springer Science + Business Media, Inc. 2005

Keywords: Bayesian methods; endogeneity; survey research; data augmentation (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11129-005-0333-3

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