The Microdata Access Grant provides free access to CBS Microdata for researchers working at an ODISSEI member organisation. In the 2020 round of the MAG, eight projects were awarded, three more than in previous years. The next round of the Microdata Access Grant will probably open in spring 2021.
The goal of this project is to examine the socioeconomic and family-related drivers of suicidal behaviours of Dutch men and women.
This project will answer the question how school quality and standardization of track advice influence the impact of genes and family background on the educational outcomes of Dutch children.
In this project, the researchers take advantage of the shared genes and familial environment between siblings to test the association between educational failure and mental health, controlled for observed and unobserved confounders.
What is the causal effect of mergers and acquisitions on market power? How do mergers and acquisitions influence the division of total surplus between labor, capital, and profits?
The aim of this project is to contribute to the understanding of the relation between economic and civic performance within schools, and examine what factors determine this relation.
This research project focuses on how women and men in couples with children differ in (their experience of) paid work, care responsibilities, and work-care combinations in times of the COVID-19 pandemic.
Mapping the short- and long-term effects of homeschooling during the coronacrisis on social inequality in educational outcomes
With this module, the researcher will investigate (a) parental differences in providing homeschooling (b) the effects of the school shutdown on the short- and long-term educational outcomes of children.
The aim of this new study is to get a better understanding of the role of protective factors associated with parental well-being and mental health. Why do some parents respond positively to parental challenges and why do others not?
In this study, the researchers apply the privacy calculus theory to understand self-disclosure in online doctor-patient interactions. The aim of this study is to understand perceived costs and expected benefits.