dc.contributor.author | Cano Fernández, Victor Javier | de |
dc.contributor.author | Guirao Pérez, Ginés | de |
dc.contributor.author | Rodriguez Donate, Maria Carolina | de |
dc.contributor.author | Romero Rodriguez, Margartita Esther | de |
dc.date.accessioned | 2011-04-01T04:04:00Z | de |
dc.date.accessioned | 2012-08-29T23:07:58Z | |
dc.date.available | 2012-08-29T23:07:58Z | |
dc.date.issued | 2009 | de |
dc.identifier.uri | http://www.ssoar.info/ssoar/handle/document/24118 | |
dc.description.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. | en |
dc.language | en | de |
dc.subject.ddc | Wirtschaft | de |
dc.subject.ddc | Economics | en |
dc.subject.other | count data models; poisson regression model; negative binomial regression models; finite
mixture models; number of wine types | |
dc.title | An analysis of count data models for the study of exclusivity in wine consumption | en |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.source.journal | Applied Economics | de |
dc.source.volume | 41 | de |
dc.publisher.country | USA | |
dc.source.issue | 12 | de |
dc.subject.classoz | Economic Statistics, Econometrics, Business Informatics | en |
dc.subject.classoz | Economic Sectors | en |
dc.subject.classoz | Wirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatik | de |
dc.subject.classoz | Wirtschaftssektoren | de |
dc.identifier.urn | urn:nbn:de:0168-ssoar-241183 | de |
dc.date.modified | 2011-04-04T12:12:00Z | de |
dc.rights.licence | PEER Licence Agreement (applicable only to documents from PEER project) | de |
dc.rights.licence | PEER Licence Agreement (applicable only to documents from PEER project) | en |
ssoar.gesis.collection | SOLIS;ADIS | de |
ssoar.contributor.institution | http://www.peerproject.eu/ | de |
internal.status | 3 | de |
dc.type.stock | article | de |
dc.type.document | journal article | en |
dc.type.document | Zeitschriftenartikel | de |
dc.rights.copyright | f | de |
dc.source.pageinfo | 1563-1574 | |
internal.identifier.classoz | 10905 | |
internal.identifier.classoz | 1090304 | |
internal.identifier.journal | 21 | de |
internal.identifier.document | 32 | |
internal.identifier.ddc | 330 | |
dc.identifier.doi | https://doi.org/10.1080/00036840601032227 | de |
dc.description.pubstatus | Postprint | en |
dc.description.pubstatus | Postprint | de |
internal.identifier.licence | 7 | |
internal.identifier.pubstatus | 2 | |
internal.identifier.review | 1 | |
internal.check.abstractlanguageharmonizer | CERTAIN | |
internal.check.languageharmonizer | CERTAIN_RETAINED | |