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A classic thesis is that scientific achievement exhibits a “Matthew effect”: Scientists who have previously been successful are more likely to succeed again, producing increasing distinction. We investigate to what extent the Matthew effect drives the allocation of research funds. To this end, we assembled a dataset containing all review scores and funding decisions of grant proposals submitted by recent PhDs in a €2 billion granting program. Analyses of review scores reveal that early funding success introduces a growing rift, with winners just above the funding threshold accumulating more than twice as much research funding (€180,000) during the following eight years as nonwinners just below it. We find no evidence that winners’ improved funding chances in subsequent competitions are due to achievements enabled by the preceding grant, which suggests that early funding itself is an asset for acquiring later funding. Surprisingly, however, the emergent funding gap is partly created by applicants, who, after failing to win one grant, apply for another grant less often.
The outbreak of the Corona virus has led to unprecedented measures in education. From March 16, all schools in the Netherlands are closed, and children must keep up with their schoolwork from home. Parents are expected to take a crucial role in this “homeschooling”: they are primarily responsible for ensuring that their children follow the curriculum. In this article I report the first results of a module in the LISS Panel that was designed to map how parents school their children in primary and secondary education. Data on a nationally representative sample of 1,318 children in primary and secondary education were gathered in April. The results show marked differences between social groups. Whereas all parents find it important that their children keep up with the schoolwork, children from advantaged backgrounds receive much more parental support and have more resources (e.g., own computer) to study from home. Differences in parental support are driven by the ability to help: parents with a higher education degree feels themselves much capable to help their children with schoolwork than lower educated parents. Parents also report that schools provide more extensive distant schooling for children in the academic track in secondary education (vwo) than for children in the pre-vocational track (vmbo). Finally, there is a clear gender gap: parents feel much more capable to support their daughters than their sons.These initial findings provide clear indications that the school shutdown in the Netherlands is likely to have strong effects on the inequality in educational opportunities.
Rent-based accounts of inequality argue that institutionalized barriers to the access to labour market positions create artificial restrictions on the supply of labour and, in turn, generate wages for workers in protected positions in excess of the wages they would receive in a competitive labour market. In this article, we extend this argument to the comparative context, and elaborate a rent-based explanation of between-occupation wage inequality in Germany and the United Kingdom. We test it with new and unique data on four institutionalized sources of closure (educational credentialing, licensure, unionization, and apprenticeships), matched to newly constructed measures of occupational skills and to national labour force survey data. We show that in both countries, between-occupation wage inequality is substantial, and much of it can be traced to variations across occupations in closure and to the positive association between closure and wages. We also show that the prevalence and the payoff to each of the four closure institutions differ across the two countries: Specifically, vocational credentialing and unionization have a particularly high payoff in Germany, while tertiary credentialing and licensure have a particularly high payoff in the United Kingdom. These results have important implications for understanding between-occupation wage inequality and cross-national differences in aggregate levels of wage inequality.
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