Category: CBS Microdata
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Modelling life outcomes trought foundational machine learning models
The project focused on a question of how well can we determine ex ante individuals’ life outcomes? Traditional low dimensional models employed in the social sciences prove of limited effectiveness when given such objective. We seek to improve the performance of such models by applying modern machine learning methods on CBS microdata. Neural network models…
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The Impact of Childcare Policies on Mental Health and Education: Evidence from Subsidy Changes in the Netherlands
In this project, we estimate the causal effect of daycare on children’s mental health and schooling outcomes in the Netherlands. We use a very strong and policy-relevant instrumentthat exploits frequent changes in government reimbursement schemes for childcare prices that induce variation in expected costs over time and province of residence. We employ a simulated instrument…
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PreFer data challenge: Predicting Fertility outcomes in the Netherlands
A data challenge is a competition where many researchers work on the same dataset to make the best predictions of a well-defined outcome. Data challenges led to major progress in data science by fostering the development of new algorithms with increasing predictive ability. Data challenges can also accelerate scientific progress because the ability to compare…
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Modelling life outcomes through foundational machine learning Models
The project focused on a question of how well can we determine ex ante individuals’ life outcomes? Traditional low dimensional models employed in the social sciences prove of limited effectiveness when given such objective. We seek to improve the performance of such models by applying modern machine learning methods on CBS microdata. Neural network models…
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Country-Wide Agent-Based Epidemiological Modeling Using 17 Million Individual-Level Microdata
Calibration is a crucial step in developing agent-based models. Agent-based models are notorious for being difficult to calibrate as they can express various degrees of freedom when model parameters are unknown. Models that appear correctly calibrated to match macro-level observed data perform poorly when micro-level insights need to be inferred. As a result, policymakers cannot…
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Investigating socio-economic status’s role in the intergenerational transmission of mortality
Mortality – both in terms of the timing and cause from which someone dies – may be transmitted through families. An individual’s own socio-economic status is also related to their survival chances: the wealthier individuals are, the longer they tend to live. Although there is a great deal of research into these relationships individually, there…
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Navigating Change: The mental health effects of Dutch student finance reforms
The Dutch government abolished the universal student grant for higher education in 2015 but reinstated it in 2023. Debates persist on whether the financial challenges faced by cohorts without access to the basic grant contributed to mental health issues. However, conclusive causal evidence is still lacking, especially regarding reinforcement. This study aims to provide robust…
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Navigating Dutch Childcare: The role of social networks for migrants’ childcare knowledge, perceptions, and use
Easily accessible, affordable, and high-quality childcare is important for both children and parents. It particularly helps children with a migration background with their social and language development and enables migrant parents to increase their economic integration within Dutch society. Yet, parents with a migration background use childcare services less than parents without a migration background.…
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Does moving matter? Impact of residential relocations on school performance
Moving during childhood, although common, is viewed as a potentially stressful life event associated with disruptions in learning and social networks. Relocations during the last years of primary school may have important consequences due to their potential impact on the results obtained from the final assessment. Educational institutions frequently consider this assessment when formulating their…
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The relation between hot weather, greenspace, and active travel behavior – a natural experiment using plausible routes
Hot weather can discourage people from going outside and being active, because staying inside helps them stay cooler. One possible field in which this is true, is travel. It is possible that people are less keen to walk and cycle during hot weather. Hot weather does not have the same effect everywhere. For example, greener…