PhD Candidate
DYNAMICS Research Training Group
Humboldt University & Hertie School
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I am a PhD Candidate at the DYNAMICS Research Training Group, a joint programme of Humboldt University and the Hertie School in Berlin, funded by the German Research Foundation (DFG). During my PhD, I was a visiting researcher at the Finnish Centre for Pensions in Helsinki, the University of Wisconsin in Madison, the Max Planck Institute for Demographic Research in Rostock, and Nuffield College in Oxford.
My main interests are in comparative life course, social stratification and labour market policy reasearch as well as novel quantitative methods for causal inference. For my dissertation, I investigate the class stratification of work-to-retirement transitions in the context of population ageing and extending working life policies in Europe. I use a wide range of quantitative methods, including sequence and decomposition analyses as well as causal machine learning approaches. I also like to work with the potential outcomes framework and graphical causal models.
In addition to my PhD research, I work as a Consultant at the OECD's Directorate for Science, Technology and Innovation, where I contribute to reviews of national innovation policy and a project exploring natural language processing tools and large language models for innovation policy analysis. In 2024, I was selected as a Young Thinker at the Centre for European Policy Studies (CEPS) to discuss policy priorities for the European elections.
Here are some of my current research projects:
1. Cohorts' working life expectancies and working years lost in 21 European countriesAbstract: Across Europe, the extension of working lives has been a central policy goal for more than two decades. Working life expectancy (WLE) and working years lost (WYL) are well-suited demographic indicators for assessing countries’ progress towards achieving this goal. This article first reviews all available estimates of WLE and WYL for European countries. It then uses the largest available micro-level data – the European Labour Force Surveys (n > 10 million) – to estimate and project WLEs and WYL for cohorts of men and women aged 55–64 and 65–74 in 21 European countries. The results show that WLEs have generally increased, most rapidly in Central and Eastern Europe and in Western Europe. Northern European countries reach the highest levels of WLEs. However, country and gender differences remain large, especially when WLEs are adjusted for working hours. Correlational analyses suggest that working years have been gained primarily from successive cohorts losing fewer working years to retirement. The remaining WYL to retirement, to inactivity among women, and to unemployment in Southern Europe will be the main barriers to a further extension of working lives over the coming years.
Abstract: Despite its key role in generating and consolidating social inequalities, little is known about the role of housing at critical life course transitions, particularly in later life. This article studies the causal effects of home ownership on the risk of entering retirement between age 51 and 65 in two distinct country contexts. The analysis employs a novel causal inference approach and machine learning based on panel data from Germany and the UK. Home ownership is found to raise individuals’ retirement risks compared to renting by up to 21.3pp. in the UK and up to 7.4pp. in Germany. However, these effects are largest or only present for outright homeowners and close to salient retirement age thresholds. These findings highlight housing as a major yet underappreciated source of ‘property-based welfare’ and inequality in later life, and show how housing and welfare state institutions can mitigate or exacerbate this role.