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The authors present a modeling technology that extends the standard random coefficients model (RCM) by allowing for (1) error variance heterogeneity, (2) a parsimonious, factor-analytic representation of coefficient heterogeneity, and (3) the estimation of one or more unobserved predictors. The...
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We propose and test new "polyhedral" question design and estimation methods that use recent developments in mathematical programming. The methods are designed to offer accurate estimates after relatively few questions in problems involving many parameters. With polyhedral question design, each...
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CJ-Analysen werden in der Marktforschung eingesetzt, um metrische Nutzenfunktionen zu ermitteln. Sofern die Eingabedaten in Form einer Rangordnung vorliegen, ist bei der Auswertung eine Skalentransformation vorzunehmen. Am Beispiel einer Conjoint-Anwendung wird aufgezeigt, daß hieraus deutliche...
Persistent link: https://www.econbiz.de/10011745110
This article examines basic features of ranked Conjoint-data, analyzes the adequacy of evaluation methods and proposes improvements for better utilizing the information provided by ranked data. It is shown that commonly used goodness-of-fit measures provide inadequate proxy measures for...
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This article introduces a Bayesian method for testing the axioms of additive conjoint measurement. The method is based on an importance sampling algorithm that performs likelihood-free, approximate Bayesian inference using a synthetic likelihood to overcome the analytical intractability of this...
Persistent link: https://www.econbiz.de/10012930250
Estimating consumers' heterogeneous preferences using choice-based conjoint (CBC) data poses a considerable modeling challenge, as the amount of information elicited from each consumer is often limited. Given the lack of individual-level information, effective information pooling across...
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