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Who voted for Brexit? Individual and regional data combined

机译:谁投票支持英国脱欧?结合个人和区域数据

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摘要

Previous analyses of the 2016 Brexit referendum used region-level data or small samples based on polling data. The former might be subject to ecological fallacy and the latter might suffer from small-sample bias. We use individual-level data on thousands of respondents in Understanding Society, the UK's largest household survey, which includes the EU referendum question. We find that voting Leave is associated with older age, white ethnicity, low educational attainment, infrequent use of smartphones and the internet, receiving benefits, adverse health and low life satisfaction. These results coincide with corresponding patterns at the aggregate level of voting areas. We therefore do not find evidence of ecological fallacy. In addition, we show that prediction accuracy is geographically heterogeneous across UK regions, with strongly pro-Leave and strongly pro-Remain areas easier to predict. We also show that among individuals with similar socio-economic characteristics, Labour supporters are more likely to support Remain while Conservative supporters are more likely to support Leave.
机译:之前对2016年英国脱欧公投的分析使用的是地区一级的数据或基于民意测验数据的小样本。前者可能遭受生态谬误,而后者可能遭受小样本偏差。在英国最大的家庭调查“理解协会”中,我们使用了成千上万受访者的个人数据,其中包括欧盟的全民投票问题。我们发现,投票假与老年人,白人,受教育程度低,不经常使用智能手机和互联网,获得福利,不利健康以及生活满意度低有关。这些结果与总体投票领域的相应模式相吻合。因此,我们找不到生态谬误的证据。此外,我们表明,在整个英国地区,预测准确性在地理位置上是异质的,强烈赞成留守和强烈赞成留守的地区更容易预测。我们还表明,在具有相似社会经济特征的个人中,劳工支持者更有可能支持留任,而保守派支持者则更有可能支持请假。

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