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An analysis of count data models for the study of exclusivity in wine consumption

[Zeitschriftenartikel]

Cano Fernández, Victor Javier; Guirao Pérez, Ginés; Rodriguez Donate, Maria Carolina; Romero Rodriguez, Margartita Esther

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Abstract Several models which analyze count data have been proposed in econometric literature. These models allow the discrete, non-negative nature of specific phenomena of interest to be gathered in a appropriate way and can be useful for the explanation of specific preference structures among individuals. In this work, an analysis of the number of wine types consumed by residents of Tenerife is carried out, with an aim to observe which characteristics determine the exclusivity in its consumption, given the current context of increased competition in this sector. The specific characteristics of the considered variable allow the study to cover two aspects. The first is methodological, and is seen by the variety of models that may be considered in this case. This focus consists in comparing several possibilities which fit the type of count data involved. The second aspect is clearly empirical, and is based on the description of not only the most appropriate decision-making mechanism for the study but in the identification of those factors that explain the diversity in wine consumption.
Klassifikation Wirtschaftssektoren; Wirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatik
Freie Schlagwörter count data models; poisson regression model; negative binomial regression models; finite mixture models; number of wine types
Sprache Dokument Englisch
Publikationsjahr 2009
Seitenangabe S. 1563-1574
Zeitschriftentitel Applied Economics, 41 (2009) 12
DOI http://dx.doi.org/10.1080/00036840601032227
Status Postprint; begutachtet (peer reviewed)
Lizenz PEER Licence Agreement (applicable only to documents from PEER project)
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