2019
DOI: 10.1016/j.ejpoleco.2018.08.002
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Who voted for Brexit? Individual and regional data combined

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Cited by 152 publications
(124 citation statements)
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“…The main point from Model 3 is to confirm that this pattern is robust to controlling for the full range of background variables -now including party identification, education and income which were omitted from Models 1 and 2 (due to the preponderance of missing values). While the results from the control variables are not central to our purposes, it is worth noting that they confirm the consistent patterns from previous work (Hobolt 2016;Clarke et al 2017;Alabrese et al 2019). Leave was a more popular option among older people, men, those with lower education and those on lower incomes.…”
Section: Resultssupporting
confidence: 88%
“…The main point from Model 3 is to confirm that this pattern is robust to controlling for the full range of background variables -now including party identification, education and income which were omitted from Models 1 and 2 (due to the preponderance of missing values). While the results from the control variables are not central to our purposes, it is worth noting that they confirm the consistent patterns from previous work (Hobolt 2016;Clarke et al 2017;Alabrese et al 2019). Leave was a more popular option among older people, men, those with lower education and those on lower incomes.…”
Section: Resultssupporting
confidence: 88%
“…These findings support the e↵ort to validate our Brexit measures. However, they also speak to Alabrese et al (2019) and Fetzer (2019), who find substantial geographical heterogeneity in the extent to which demographic variables can explain the Brexit vote. Our findings suggest that "spillovers" from local companies might be a partial source of this geographical heterogeneity.…”
Section: Regional Support For Brexitmentioning
confidence: 95%
“…When voters live in a region where a firm with elevated Brexit exposure is headquartered, they are more likely to vote against Brexit. Previous studies have generally focused on voter characteristics (such as age, ethnicity, and educational achievements) to explain geographical variation in voting (Alabrese et al, 2019;Fetzer, 2019). We propose that a voter's referendum choice will also be guided by their assessment of how Brexit will a↵ect local economic and employment conditions.…”
Section: Regional Support For Brexitmentioning
confidence: 99%
“…They largely confirm what the correlations reported above suggest. Alabrese et al (2019), for example, find that voting Leave is associated with older age, white ethnicity, low educational attainment, infrequent use of smartphones and the internet, receiving public benefits, adverse health, and low life satisfaction. Others have found that negative attitudes towards immigration increase the probability that an individual voted Leave (Arnorsson and Zoega 2018) and that the generational divide-younger individuals are less Eurosceptical than older ones-reflects a combination of individuals' experience of the EU during their formative years and differences in access to education for different generations (Fox and Pearce 2018).…”
Section: Literature Reviewmentioning
confidence: 99%