A Bayesian Multi-Level Factor Analytic Model of Consumer Price Sensitivities across Categories

Autor/inn/en	Duvvuri, Sri Devi; Gruca, Thomas S.
Titel	A Bayesian Multi-Level Factor Analytic Model of Consumer Price Sensitivities across Categories
Quelle	In: Psychometrika, 75 (2010) 3, S.558-578 (21 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0033-3123
DOI	10.1007/s11336-010-9167-3
Schlagwörter	Marketing; Costs; Consumer Economics; Models; Computation; Bayesian Statistics; Factor Analysis + Suchen Sie Ihr Suchwort? Cost; Kosten; Konsumökonomie; Analogiemodell; Faktorenanalyse
Abstract	Identifying price sensitive consumers is an important problem in marketing. We develop a Bayesian multi-level factor analytic model of the covariation among household-level price sensitivities across product categories that are substitutes. Based on a multivariate probit model of category incidence, this framework also allows the researcher to model overall price sensitivity (i.e., indicated by higher-order factor scores) as a function of household-level covariates. All model parameters are estimated simultaneously to circumvent the downward bias resulting from two-stage estimation. The modeling framework is illustrated using scanner panel data from multiple categories of instant coffee. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10