Hello, I'm

Jesper
Lindmarker

I research how people sort into partnerships and what that reveals about social boundaries. I teach quantitative methods, build simulations, and work with large-scale data, in academia and occasionally with organisations facing similar analytical challenges.

PhD Candidate & Lecturer at the Institute for Analytical Sociology, Linköping University, where I teach statistics and data science in the master's programme in Computational Social Science.

Jesper Lindmarker

Social boundaries
& romantic partnerships

Every society has groups that mix more or less easily: rich and poor, immigrants and natives, religious and secular. These invisible lines are what we call social boundaries. But how much of who we end up with is actual preference, and how much is about who we meet, work with, or live close to? Funded by a Swedish Research Council grant.

Two groups live in a city. People form partnerships with those nearby. How much of the observed sorting is driven by where people live versus who they prefer?

Group A
Group B
Segregation 50%
Spatial clustering of groups
In-group preference 0%
Bonus for same-group partners
Population 200
What this means for research: This is why studying social boundaries requires knowing who is actually available. In a municipality, a workplace, a school. Without accounting for that, we risk mistaking geography for genuine group preferences.

Papers

Published · European Journal of Population, 2025

Cohabitation and Mortality Across the Life Course

Jesper Lindmarker, Martin Kolk & Sven Drefahl

Living with a partner is linked to living longer. But is that the relationship itself, or do healthier people just couple up more? We compared siblings, same family, different relationship paths, to separate the two. Cohabitation does appear protective, though less so than marriage, and the effect varies across the life course.

Sibling fixed-effects survival models on Swedish register data covering 5.6 million individuals (2012–2017), separating selection from causal partnership effects on mortality.

Preprint · SocArXiv

However Far Away? The Spatial Contingencies of Assortative Mating

Jesper Lindmarker & Benjamin F. Jarvis

People tend to partner within their own ethnic group. The usual explanation is preference. But when we account for who actually lives nearby, 20–40% of same-group partnering is explained by geography alone. Segregation narrows who you can meet before preference even enters the picture.

Conditional logit models on Swedish population registers (1990–2017), comparing observed unions to counterfactual partners drawn from the local singles pool, with mediation analysis separating residential proximity from ancestry preference.

Working paper

Beyond Majority and Minority: Fine-Grained Ethnic Boundary Structures in Swedish Assortative Mating

Jesper Lindmarker & Carl Nordlund

Most studies compare "majority" with "minority." We look at all 2,500 possible pairings across 50 ancestry groups in Sweden. Some groups partner at 294 times the expected rate; others far below. Seven distinct clusters emerge, shaped by geography, culture, and gender. The same boundary can be open for women and closed for men.

Two-sided matching simulation with log-linear models and Walktrap community detection on full-population Swedish register data (1991–2022), mapping the complete matrix of ethnic over- and underrepresentation across 50 ancestry groups.

Working paper

Three Decades of Ethnic Assortative Mating in Sweden

Jesper Lindmarker

Interethnic couples have become more common in Sweden over 30 years. That looks like progress. But most of the increase comes from growing diversity, more people of different backgrounds simply being around. When you account for that, same-group preferences have barely changed, and for some groups they got stronger.

Conditional logit models with Oaxaca-Blinder decomposition on Swedish register data (1991–2022), separating structural partner market shifts from changes in ethnic assortativity across six ancestry groups and two immigrant generations.

In progress

The Opportunity Structure of Educational Homogamy

Jesper Lindmarker & Benjamin F. Jarvis

Highly educated people tend to partner with each other. But is that a preference for education, or a side effect of spending years at the same university and then the same workplace? Shared institutions explain 30–40% of it, and each extra year of overlap makes a union more likely. The places that shape your career also shape who you end up with.

Conditional logit discrete choice models with KHB mediation decomposition on 1.25 million first unions from Swedish registers (1990–2022), isolating the contributions of university co-enrollment, workplace co-membership, and residential proximity.

In the news

Dagens Nyheter wrote about my research: "Färre par träffas på jobbet".

Background

2027 Upcoming

Postdoctoral Researcher

Institute for Analytical Sociology, Linköping University

Three-year position funded by the Swedish Research Council to study how residential segregation shapes social boundaries through partner choice. Starting after PhD defense in December 2026.

Now
2021–2026

PhD Candidate & Lecturer

Institute for Analytical Sociology, Linköping University

Dissertation on assortative mating in Sweden, using discrete choice models, matching simulations, and full-population register data to study how opportunity structures and preferences jointly shape partner formation across ethnic and educational lines.

Course responsible and main lecturer for Statistics & Data Science II in the MSc programme in Computational Social Science. The course covers regression, causal inference, logistic models, and discrete choice analysis. Also supervised master's theses in quantitative methods.

Presented at international conferences including PAA (Population Association of America) and INAS (International Network of Analytical Sociology).

2009–2022

The Castle Coworking

Founder & Manager, Stockholm

Founded and managed two coworking spaces over thirteen years, first a church, then a castle next to the Royal Palace. At its peak: 1,500 sqm, 300 members, and the highest Google rating among coworking spaces in Stockholm.

The project was an experiment in organisational design as much as a business. Inspired by Frederic Laloux's work on self-managing organisations and ideas from developmental psychology, the Castle operated with distributed decision-making, transparent finances, and a deliberate effort to hold a community that cut across industries, nationalities, and professional backgrounds. The community side was shaped by involvement in the Burning Man movement and its principles of participation and radical inclusion.

Running the Castle for over a decade meant dealing with everything from commercial leases and staffing to event production and community conflict. Practical experience in leading organisations where structure has to be designed, not inherited.

We also threw some memorable parties.

The Castle, coworking space in Stockholm
2012

The Cookbook Adventure

Author & Project Lead

Crowdfunded and led a journey by car from Stockholm to Ulan Bator, 15,000 km through 16 countries. Along the way, we documented recipes and food stories from the people we met. The result was a cookbook published in 2014, combining photography, personal essays, and home cooking from Turkey to Mongolia.

The project involved everything from crowdfunding campaigns and logistics to writing, editing, and working with publishers. Read the digital copy or open the full map.

2010–2014

GreenCup

CEO & Co-founder

Built a company around reducing disposable cup waste on university campuses. Designed a reusable cup system with deposit logistics, partnered with campus cafés, and scaled to over 15,000 cups in active use at Linköping University and KTH.

An early venture that taught lessons in product design, supply chain management, and the gap between good ideas and operational reality.

GreenCup, sustainable campus cup

Statistics & Data Science II

I am course responsible and main lecturer for this course in the MSc programme in Computational Social Science at Linköping University. The course runs from OLS regression through to causal inference and discrete choice models. All lecture slides are available below.

Let's talk

For research collaboration, teaching enquiries, or consulting.