I am a Senior Research Fellow at the Department of Economics, University of Oxford, and a Non-Stipendiary Research Fellow at Nuffield College. I am also a Research Affiliate at IZA. My research agenda centers on inequalities in the labour market.
Currently, I study labour market inequalities from three distinct perspectives. First, I am interested in the roles of gender and family dynamics in the labour market. Leveraging a unique combination of Danish job vacancy data and matched employer-employee register data, I explore how job characteristics and their returns (in terms of wages) depend on the gender of the worker. Second, I explore the economic effects of parental death on children. In different projects, we investigate how the impact of parental death evolves over the life cycle and the mechanisms at play during different life stages. Third, I study the outcomes of children of immigrants relative to the children of locals. Utilising detailed Danish administrative data, our projects assess differences in outcomes and in levels of intergenerational mobility.
With these research projects, I aim to contribute to a nuanced understanding of labour market dynamics, earnings disparities, familial influences, and the socio-economic trajectories of diverse populations.
PhD in Economics, 2021
Copenhagen Business School
MSc in Business Administration & Philosophy, 2018
Copenhagen Business School
MPhil in Multi-Disciplinary Gender Studies, 2016
University of Cambridge
BA (Hons.) in Economics, 2015
University of Cambridge
In Europe, the children of migrants often have worse economic outcomes than those with local-born parents. This paper shows that children born in Denmark with immigrant parents (first-generation locals) have lower earnings, higher unemployment, less education, more welfare transfers, and more criminal convictions than children with local-born parents. However, when we condition on parental socio-economic characteristics, first-generation locals generally perform as well or slightly better than the children of locals. While children of immigrants are more likely to come from deprived backgrounds, they do not experience substantially different outcomes conditional on parental background.
Skill requirements in a job post reflect an employer’s “wish list,” but do they also reflect skills used on the job by the hired worker? We compare skill measures derived from the text of online job posts with individual-level data from the Danish Labour Force Survey (LFS) in which participants report their main skills used on the job as free text. By identifying individual workers from the LFS who can be matched to a job post, we validate that the extensive margin skills measures derived from job postings data reflect main skills used on the job. Thus, using job postings data to analyze skill use on the job is generally a valid empirical strategy. However, we also show that heterogeneity in returns to skills is missed if only the extensive margin of skill demand is considered.
In this paper, we exploit a unique and unexpected reform to the child benefit system in Denmark to assess the effects of child benefits on parental labour supply. A cap on child benefit payments in 2011 led to a non-negligible reduction in child benefits for larger families with young children while leaving child benefits for smaller families unchanged. The differential impact of this policy represents an opportunity to assess the causal impact of child benefit programmes on the labour supply of mothers and fathers. Using a difference-in-differences strategy, we find that the reduction in benefits leads to a substantial increase in the labour supply of mothers. Mothers respond to the policy at both the intensive and extensive margins, with the latter outweighing the former, and the effect persists after controlling for fertility-related family characteristics. To fix preferences for additional children across treatment and control groups, we use data on parents' medical consultations on sterilisation, a common procedure in Denmark.
Using discontinuities from the Danish college enrollment system, we find that students who are marginally accepted into their preferred program in a broad field that is different from their next-best choice (e.g., business rather than science) experience significant and long-lasting rewards as a result. In contrast, students whose preferred and next-best programs lie within the same broad field do not. Exploiting data from online job postings, we find that the estimated effects on skill usage similarly vary according to the degree of similarity between preferred and next-best choices.
Nearly everyone experiences the death of a parent in adulthood, but little is known about the effects of parental death on adult children’s labor market outcomes and the underlying mechanisms. In this paper, we use Danish administrative data to examine the effects of losing a parent on individual labor market outcomes and its contribution to gender earnings inequalities. Our empirical design leverages the timing of sudden, first parental deaths, allowing us to focus on the health and family support channels. Our findings reveal enduring negative effects on the earnings of both adult sons and daughters…
We use rich population-level administrative data from Denmark to develop new facts about the relationship between the timing and spacing of births and labor market outcomes. We show that there is substantial heterogeneity in the age at first birth across maternal skill levels. The spacing of pregnancies is also tighter on average for highly skilled mothers, resulting in them experiencing higher levels of fertility and time on parental leave in the years immediately after first birth. We estimate event studies by skill level and find that much of the child penalties in earnings and participation in the 5 years following first birth can be explained by incapacitation effects from parental leave around subsequent births, especially for the highly educated.
Analyses of job vacancy data are typically constrained by the fact that information on the hired worker(s) is hidden. To overcome this issue, I develop a pseudo-individual match between Danish job vacancy data and register data. With data on the hired worker(s) for each online job vacancy, I can test how returns to task-specific skills depend on the gender of the worker. While controlling for firm*occupation fixed effects, I find that women face significantly lower returns to cognitive, character, customer service, financial, and computer skills compared to men. The dual requirement of social and cognitive skills is not associated with higher wages at the individual level, but only after aggregating the data to teams of workers.
With Cédric Schneider