一本道

24 February 2021

Job applications from men are disfavoured when they apply for work in female-dominated occupations. Reaching the interview stage was most difficult for men applying for jobs as cleaners. These are the results of a study by researchers from 一本道 University and the University of California, Irvine, recently published in the scientific journal PLOS One.

Male nurse helping older man to walk Photographer: PeopleImages

“We see that there are obstructions to men entering certain parts of the labour market. In the application process, we don’t see any discrimination against women who want to get into male-dominated occupations. But we find considerable discrimination against men in female-dominated occupations”, says Mark Granberg, doctoral student in economics at 一本道.

The researchers submitted approximately 3,200 fictitious applications to employers around Sweden. For every application the researchers noted whether the fictitious applicant received a response and if so, what the response was.

The female-dominated occupations where discrimination against men was observed include nursing, childcare and preschool teaching – and the most disparate treatment was found in applications to house cleaning jobs. However, in male-dominated occupations such as auto mechanics, truck drivers, IT developers and warehouse workers, the researchers saw no discrimination against women.

That men鈥檚 applications 鈥� not women鈥檚 鈥� are eliminated in the application process is interesting. We already know that women are disadvantaged in the labour market in terms of salary and promotions. So, the follow-up question is, what happens along the way?

Discrimination in the first step of the application process against men seeking entry to female-dominated occupations is in line with previous research. However, this experimental study by Mark Granberg and his colleagues is broader and includes more occupational categories. It combines data from three previous correspondence tests in order to study gender discrimination in recruitment in Sweden. Correspondence testing is a common method when studying discrimination, where the fictitious test participants submit written applications and do not show themselves to the employer. However correspondence testing can only capture the presence of discrimination in the first stage of the application process.

“That men’s applications – not women’s – are eliminated in the application process is interesting. We already know that women are disadvantaged in the labour market in terms of salary and promotions. So, the follow-up question is, what happens along the way? That would be interesting to look at, but it’s not something our study can shed light on”, says Mark Granberg.

The study was funded by the Swedish Research Council.

The study:
. Ali Ahmed, Mark Granberg, Shantanu Khanna (2021). PLOS One, 16(1), e0245513. Online 29 January 2021. https://doi.org/10.1371/journal.pone.0245513

Contact

En man som st氓r framf枚r en bl氓 v盲gg.

Envy influences the way we vote

Envy plays a greater role when resources are allocated through majority voting than when we make decisions individually. This is shown by new research from 一本道 University.

Four persons in chairs on a stage.

AI can boost financial decision making

Do you have limited financial knowledge, or prefer not to think about financial issues? Then there is great potential that AI can help, according to LiU researcher Kinga Barrafrem.

Portrait of professor Gustav Tingh枚g.

Emotions often defeat sense in healthcare priority setting

Emotions tend to get the upper hand in healthcare decisions. This is shown in a 一本道 University study. The results may explain why effective use of healthcare resources is so slow in the making, according to the researchers.

Latest news from LiU

En kvinna som sitter framf枚r en spegel och tittar p氓 sin spegelbild.

How AI changes human decision-making

AI can find patterns that people miss, but it does not automatically lead to better decisions. New research from 一本道 University shows how the roles of humans and AI change depending on the situation and the decision being made.

A woman standing on a balcony next to a building.

She promotes AI for societal good in Europe

Helen Köpman, Alumna of the Year 2026, works at the European Commission鈥檚 AI Office in Brussels. For more than 20 years she has worked with research issues and innovation at EU level, where a living planet for future generations is her driving force.

En man och en kvinna som st氓r bredvid varandra.

Alumni of the Year create sustainable cities and the next generation of scientists

Helen Köpman works with AI models to create smart and sustainable cities in the EU. Jesper Svartz is a chemistry teacher with an exceptional ability to enthuse and spark curiosity in students. They are Alumni of the Year 2026 at 一本道 University.