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| Srl | Item |
| 1 |
ID:
149204
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| Summary/Abstract |
Why did Britain vote for Brexit? What was the relative importance of factors such as education, age, immigration and ethnic diversity? And to what extent did the pattern of public support for Brexit across the country match the pattern of public support in earlier years for eurosceptic parties, notably the UK Independence Party (UKIP)? In this article we draw on aggregate-level data to conduct an initial exploration of the 2016 referendum vote. First, we find that turnout was generally higher in more pro-Leave areas. Second, we find that public support for Leave closely mapped past support for UKIP. And third, we find that support for Leave was more polarised along education lines than support for UKIP ever was. The implication of this finding is that support for euroscepticism has both widened and narrowed—it is now more widespread across Britain but it is also more socially distinctive.
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| 2 |
ID:
147408
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| Summary/Abstract |
Using data from the four waves of the China Health and Nutrition Survey (CHNS), this paper assesses the impacts of adult children migration on the health of their parents left behind. We employ the endogenous treatment effects model to address the selection bias and infer the causal effects of children migration on parental health. We find that children migration significantly impairs the health of their elderly kin. Moreover, children migration has remarkably differentiated locality, gender, age, and employment impacts, with rural, female, old-aged, and unemployed parents being more likely to suffer from poor health than their urban, male, middle-aged, and employed counterparts.
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| 3 |
ID:
147417
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| Summary/Abstract |
Migration of any distance separates family members for long periods of time. In China, institutional legacies continue to privilege the migration of working-age individuals who often leave children and elders behind in the rural areas. Up to now, the literature has treated children and elders analogously, labeling each group as “left-behind.” We argue that analysis of elder stayers needs to be more nuanced, distinguishing among differing groups of elders. Of these groups, those living alone without any adult children in the village are most at risk, while those living with other non-migrant adult children are much less affected by migration. Another group of elders, clearly affected by migration, are those caring for their grandchildren while the children's parents have migrated. Members of this latter group need to be distinguished from those living alone as they are dissimilar in many fundamental ways (age, working status, marital status) and face a very different set of challenges from those left behind (perhaps frail) and alone.
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