I’m very happy to share that my first paper has been accepted for publication 🎉
Together with my great co-author Nayeon Lim we look at early public childcare in Germany.
More details and the paper link below 👇
www.sciencedirect.com/science/arti...
New Study: Refugees take up VET in occupations with vacancy problems more often and often regardless of their qualification. Those with a precarious residence status are most affected. journals.suub.uni-bremen.de/index.php/ij...
Post Doc at Uni Tübingen! 100% position for 3 (+3) years; they're looking for somebody to analyze large-scale longitudinal datasets in education research.
Expertise in machine learning is an advantage, commitment to research transparency desirable 😌 proficiency in German beneficial but not required
I am looking for a postdoc to join my team at the University of Bremen. 5-year-contract, top-up to 100% possible for most of the contract period.
Apply by 04 May 2026.
If you have questions about the position, send me an email!
www.uni-bremen.de/en/universit...
A postdoc position is now available in my project Markets and Mobility: How Employers Structure Economic Opportunity. Start date flexible within the next 12 months, apply by 9 May.
www.ucl.ac.uk/work-at-ucl/...
For the #spatial folks among you: we exploited random distances between residential locations and large firms within German local labor markets to identify the causal effect of #dropout due to attractive alternatives 🚙💸⬆️
Our paper has recently been published from ESR! Exploiting policy-induced longitudinal changes in regional university availability, we showed that increased access boosts enrolment, while the impact is stronger for individuals with highly educated parents.
academic.oup.com/esr/advance-...
Still the most beautiful campus #unigoettingen #goettingen #platzdergoettinger7 #cherryblossom #🌸
🧵 5/5 Happy to share that the paper has now been published in Higher Education with @marklutter345.bsky.social and @martinschroeder.bsky.social:
📄 link.springer.com/article/10.1...
Screenshot of the articles title "Stratified Scars: social inequality in the labour market consequences of apprenticeship dropout" and the abstract: While the association between apprenticeship dropout and negative labour market consequences is well documented, the causal link and social stratification in this effect are less clear. Using georeferenced German administrative data and a conditional instrumental variable approach that exploits distance between place of residence and large firms, we find negative financial consequences but show that the dropout penalty is entirely concentrated among individuals from disadvantaged backgrounds. We further show that these stratified scars partly reflect unequal educational reenrolment rates and unequal employment outcomes among dropouts who do not reenrol. Our results highlight the potential of policies targeting higher graduation rates to reduce social inequality and suggest social advantage buffers the negative financial consequences of apprenticeship dropout, even in institutional settings with strong links between credentials and labour market outcomes.
How costly is apprenticeship dropout—and for whom?
Using an IV approach, our new @europeansocreview.bsky.social article finds strong income penalties, but only for students from disadvantaged backgrounds.
My great coauthors patzinaalex.bsky.social & @katymorris.bsky.social 💖
tinyurl.com/tk4nkdb3
Interested in causal inference with survey data? Join the GESIS Summer School course with @tobiaswolbring.bsky.social and me:
training.gesis.org?site=pDetail...
@gesistraining.bsky.social
How far can you get in 60 minutes? European cities offer vastly larger areas reachable by public transit than US cities of comparable population size. Source: lconwell.github.io/lucasconwell...
Example for the two staged unsupervised machine learning algorithm using point data as input. Backlayer maps depict Hamburg. The map shows neighborhoods in different sizes and forms, sometimes following administrative borders (black lines) sometimes not. Three differently colored neighborhood types are displayed, each representing a different social group of residents.
xample for the two staged unsupervised machine learning algorithm using 500x500m grid cells as input. Backlayer maps depict Hamburg. The map shows large neighborhoods in different sizes and forms, sometimes following administrative borders (black lines) sometimes not. Three differently colored neighborhood types are displayed, each representing a different social group of residents.
Looking for a measure of #neighborhoods, micro or macro #segregation?
I've got something for you!
My newly published paper in Sociological Methods & Research presents a machine-learning-based algorithm to delineate neighborhoods with grid-cell or point data:
journals.sagepub.com/doi/10.1177/...
Auf dem Weg zurück nach Hannover von der #Frühjahrstagung2026 der #DGS Sektion Soziale Ungleichheit in Potsdam. Was für eine tolle Veranstaltung mit hochwertigen Beiträgen, wertvollen Kommentaren und Frühlingsvibes 🌷☀️ Großes Dankeschön an das Orgateam der @unipotsdam.bsky.social!
Title page of the paper.
🧵 New WP! w/ @selcanmutgan.bsky.social
Most segregation research examines neighborhoods, schools, or workplaces separately. But do individuals' exposure align across domains and persist over the life course? We fill this gap using 27 years of 🇸🇪 data.
Pre-print: osf.io/eunwc_v1 (1/5)
Great 2-3 year postdoc opportunity in the Social Policy unit here at @sofi.su.se, Stockholm University
SOFI is an incredible research and work environment, could not recommend it more
Deadline for applications (including your own research plan): 13th April 2026
📢 New publication!
Together with @dariatisch.bsky.social, I’m happy to share our new article bringing gender into a key methodological debate on how to answer causal questions.
🔗 link.springer.com/article/10.1...
Hey London (spatial) bubble! I will be at LSE this summer term so if you happen to be in the city and want to discuss some research or know some good workshops and seminars - feel free to reach out 🌞🤝 very excited! 🙏🏼
Thank you, Isabel! 😊
Example for the two staged unsupervised machine learning algorithm using point data as input. Backlayer maps depict Hamburg. The map shows neighborhoods in different sizes and forms, sometimes following administrative borders (black lines) sometimes not. Three differently colored neighborhood types are displayed, each representing a different social group of residents.
xample for the two staged unsupervised machine learning algorithm using 500x500m grid cells as input. Backlayer maps depict Hamburg. The map shows large neighborhoods in different sizes and forms, sometimes following administrative borders (black lines) sometimes not. Three differently colored neighborhood types are displayed, each representing a different social group of residents.
Looking for a measure of #neighborhoods, micro or macro #segregation?
I've got something for you!
My newly published paper in Sociological Methods & Research presents a machine-learning-based algorithm to delineate neighborhoods with grid-cell or point data:
journals.sagepub.com/doi/10.1177/...
New paper with Sebastian Bähr (@sebbaehr.bsky.social) and Bernad Batinic (JKU Linz) out now in @plosone.org ! We investigate whether working from home (WFH) affects latent functions of work and various well-being measures. 1/n
📢WORK! At the Sociology department of @utrechtuniversity.bsky.social we are hiring a postdoc who will work on applications of AI in sociological research. Join our vibrant-yet-cohesive research community doing cutting-edge research. Please share or apply! www.uu.nl/en/organisat...
For a change, something we made ourselves: Together with my colleagues Tobias Roth, Andreas Horr, and @nataliebackes.bsky.social, we examined ethnic rent penalties. Do migrants pay higher rents for comparable housing than natives with similar characteristics? direct.mit.edu/euso/article...
Results for CEM and neighborhood fixed effects regressions. We find robust and significant positive effects (blue coefficients) of childhood exposure to different ethnicities on the likelihood of interethnic marriage.
Left: georeferenced households in 1880. Right: Ethnic organic neighborhoods in Manhattan in 1880. Six ethnic groups are prevalent: first/second generation Americans, Asians, Germans, Irish and Others (residual category). We use these neighborhoods to account for segregation by applying organic neighborhood fixed effects.
New preprint out with @wendering.bsky.social & Nan Zhang!
We show that childhood exposure to ethnic outgroups increases the prob. of #interethnic marriage decades later, using historical linked US census data (1880–1910) and next-door neighbor comparisons 🏠🌃
Read more here:
shorturl.at/U0IHR
Looking for RAs based in Berlin/Brandenburg. Please share! 🙏
“Potential” and the Gender Promotion Gap† By Alan Benson, Danielle Li, and Kelly Shue* We show that subjective assessments of employee “potential” contribute to gender gaps in promotion and pay. Using data on 29,809 management-track employees from a large retail chain, we find that women receive substantially lower potential ratings despite receiving higher performance ratings. Differences in potential ratings account for approximately half of the gender promotion gap. Women’s lower potential ratings do not reflect accurate forecasts of future performance: Women subsequently outperform male colleagues, both on average and on the margin of promotion. We highlight two mechanisms driving the gender potential gap: strategic retention and stereotyping. (JEL J16, J31, J71, L81, M12, M51)
"...women receive substantially lower potential ratings despite receiving higher performance ratings... lower potential ratings do not reflect accurate forecasts of future performance: Women subsequently outperform male colleagues..."
pubs.aeaweb.org/doi/pdfplus/...
Participating at the #RC28 online conference on educational inequalities?
Come to my talk on the spatial embeddedness of #VET dropout decisions 🚫 and consequences 💸 in Germany at 11 am (Room 1) today!
Could be a worth-to-investigate dimension of gentrification 🤔
📢Apply now for one of our GradAB PhD scholarships beginning 1st Oct 2026. GradAB is a joint program of IAB and @fau.de in cooperation with TU Dortmund. (1/4)