Subjective heterogeneity in response attitude for multivariate ordinal outcomes

Rosaria Simone, Gerhard Tutz and Maria Iannario

Econometrics and Statistics, 2020, vol. 14, issue C, 145-158

Abstract: Traditional statistical models with random effects account for heterogeneity in the population with respect to the location of the response in a subject-specific way. This approach ignores that also uncertainty of the responses can vary across individuals and items: for example, subject-specific indecision may play a role in the rating process relative to questionnaire items. In this setting, a generalized mixture model is advanced that accounts for subjective heterogeneity in response behaviour for multivariate ordinal responses: to this aim, random effects are specified for the individual propensity to a structured or an uncertain response attitude. Simulations and a case study illustrate the effectiveness of the proposed model and its implications.

Keywords: Random effects; Mixture models; Rating data; Subjective uncertainty (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecosta:v:14:y:2020:i:c:p:145-158

DOI: 10.1016/j.ecosta.2019.04.002

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