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Petra Sauer

@petrasauer.bsky.social

Social scientist, University of Fribourg and Vienna University of Economics and Business - researching social stratification, intergenrational mobility, graduate labour market outcomes and higher education institutions

56 Posts174 Follower159 Folgt
Florencia Torche@ftorche.bsky.social · 5mo ago

New @aeraedresearch.bsky.social article: “Bright but Poor”. Many talented students from low-income families have the grades for higher education but do not make it. We show where the missed opportunities arise across the education pipeline Low-hanging fruit for ed policy doi.org/10.3102/0002...

Bright but Poor: Undermatching in the Access to Postsecondary Education - Alejandra Mizala, Luis Herskovic, Alejandra Abufhele, Florencia Torche, 2026

Undermatching identifies high school graduates who do not attend selective colleges even if they have high academic performance. To date, the study of undermatc...

doi.org

European Sociological Review@europeansocreview.bsky.social · 6mo ago

New at ESR! #OpenAccess! Using new data on the establishment of Norwegian colleges 1969–1992 linked to individual register data, #ARogne #TKnutsen @modals.li revisit the role of local access to higher education in shaping gendered educational outcomes! doi.org/10.1093/esr/jcaf060

A college on every cape: gender equality, gender segregation and local college openings

Abstract. The expansion of higher educational systems in Western countries in the latter half of the 20th century is central to the reversal of the gender

doi.org

LSE Inequalities@lseinequalities.bsky.social · 7mo ago

The UK LIS Satellite Office is pleased to announce that LIS data can now be securely accessed through the SafePod Network (SPN), a key channel for expanding the use of LIS data. Eligible UK-based LIS researchers can now access LIS data from participating universities across the SPN in the UK 📊

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Per Engzell@pengzell.bsky.social · 7mo ago

JOB! I'm hiring a postdoc for 2 years on my ERC MaMo project. Looking for someone with strong quant methods, ongoing work close to the project's aims, and a desire to publish in sociology. Start flexible in the next 12 months. Formal call out shortly, but contact me first.

Markets and Mobility: How Employers Structure Economic OpportunityIntergenerational mobility, measuring the ability to achieve economic success regardless of family background, is a critical reflection of a society’s commitment to equality of opportunity. Rising income inequality has raised concerns about the potential erosion of upward mobility. While education has traditionally been viewed as the path to mobility, its transformative power is facing challenges in a rapidly evolving job market. This project reorients the focus of intergenerational mobility research by highlighting the labor market as an arena for the reproduction of advantage. It employs a comparative approach, using administrative data from four countries: Sweden, Austria, England, and the United States. It also incorporates evidence from a broader set of nations through cross-national surveys, longitudinal household surveys, labor force surveys, secondary data, and digital trace data. The project employs cutting-edge empirical methods, including quasi- experimental designs, event studies, within-family comparisons, decomposition analyses, counterfactual simulations, and diagnostic checks to rigorously assess the extent of inequalities in the labor market. The research investigates how family background influences the sorting of individuals to employers and workplaces, accounting for education and occupation, and explores variations in career progression within and between employers. It comprehensively catalogues and assesses mechanisms shaping workplace inequality, contributing to the development of social closure theory. Additionally, the project evaluates intervention strategies, encompassing both employer practices and government actions, to promote fair opportunity in the labor market.
Per Engzell@pengzell.bsky.social · 7mo ago

ECSR Thematic Conference on the Life Course and Social Stratification, 23-24 April, University of Trento. Smaller thematic conferences like these are usually the best place to present and network, imo. Submit by 22 February. sites.google.com/unitn.it/ecs...

Life Course & Social Stratification

Call for Abstracts for the ECSR Thematic Conference Life Course and Social Stratification 23-24 April 2026, University of Trento, Italy The Life Course approach has gained powerful traction across th...

sites.google.com

Janet Gornick@janetgornick.bsky.social · 8mo ago

Thanks to Social Policy Blog for posting our blog and for pointing readers interested in the politics of #fathers' leave to the original article: Martin Gurín & Janet C. Gornick, 2024, Journal of International and Comparative Social Policy 40:3. @stone-lis.bsky.social @paidleaveforall.bsky.social

Social Policy Blog@socialpolicyblog.bsky.social · 8mo ago

The blog post is based on Martin Gurín and Janet C. Gornick's article published in the Journal of International and Comparative Social Policy. doi.org/10.1017/ics....

Screenshot of the first page of the journal article “Pushes and pulls of father leave policy reform: Unpacking divergent father leave reforms in the Czech Republic and South Korea” by Martin Gurín and Janet C. Gornick, published in the Journal of International and Comparative Social Policy. The page shows the title, authors’ affiliations, abstract, and journal branding from the Social Policy Association and Cambridge University Press.
Martin Huber@causalhuber.bsky.social · 8mo ago

🚀 A new version of our causalweight package for the statistical software R is online, containing some of the latest causal machine learning methods for the estimation of treatment effects: www.rdocumentation.org/packages/cau... #CausalInference #CausalAnalysis #MachineLearning

causalweight package - RDocumentation

Various estimators of causal effects based on inverse probability weighting, doubly robust estimation, and double machine learning. Specifically, the package includes methods for estimating average tr...

rdocumentation.org