Purpose

This paper compares the socio-demographic features, wine consumption preferences and habits of individuals of Generations X and Y. The influence of age, as a life cycle effect, on individuals' consumption preferences from the same generation is analysed. In addition, the generational effect and period effect on consumption by each generation are studied to ascertain changes in preferences due to specific values of their birth cohort or period.

Design/methodology/approach

Mixed ordered logit models are estimated to identify which traits influence the probability of consuming a certain quantity of wine for each generation. The variability of the effects of different variables on the consumption decision is analysed in depth, as a reflection of the unobserved heterogeneity present in individuals' decisions. For this purpose, data from two exhaustive surveys carried out in Tenerife (Canary Islands) over a time interval of 13 years are used.

Findings

Individuals' age and period are relevant factors in the consumption decision. There are some similarities in the behaviour of both generations, although the variability of the effects of some individual traits is greater for Generation X.

Originality/value

This paper contributes to a better understanding of the profile of wine consumers from different generations through a joint analysis of age effects, period and cohort, which have rarely been addressed jointly in the literature. In addition, it provides an exhaustive analysis of the heterogeneity in consumption preferences that highlights the variability of the effects found.

中文翻译：

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X和Y代之间的葡萄酒消费偏好：变异性分析

目的

本文比较了X和Y世代个体的社会人口统计学特征，葡萄酒消费偏好和习惯。分析了年龄（作为生命周期效应）对同代个体消费偏好的影响。此外，还研究了一代人对每一代人的消费的影响和时期效应，以确定由于其出生队列或时期的特定值而导致的偏好变化。

设计/方法/方法

估计混合有序logit模型以识别哪些特征影响每一代消耗一定数量葡萄酒的概率。深入分析了不同变量对消费决策的影响的可变性，以反映个人决策中存在的未观察到的异质性。为此，使用了在特内里费岛（加那利群岛）进行的两次详尽调查的数据，时间间隔为13年。

发现

个人的年龄和时期是消费决策中的相关因素。两代人的行为都有一些相似之处，尽管对于X代人而言，某些个体性状的影响差异更大。

创意/价值

本文通过对年龄影响，时期和队列的联合分析，有助于更好地了解不同世代的葡萄酒消费者的形象，这在文献中很少涉及。此外，它还对消费偏好的异质性进行了详尽的分析，突显了所发现影响的可变性。