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News
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.
May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
May 20, 2026
HSE University Opens First Representative Office of Satellite Laboratory in Brazil
HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.

 

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?

Labour Market Outcomes of Migrant Women in Västerbotten and Norrbotten

.
Kotyrlo E.

This paper examines the earnings development and labour force participation of female immigrants compared to Swedish-born women in Västerbotten and Norrbotten (Sweden). A total of 10% of the women residing in these two counties have a foreign background. Female immigrants, mostly originating from Finland, Norway, Thailand, Iraq, and the former Soviet Union, vary greatly in their cultural and family values, education, and job experiences. Ethnic and geographical differences in labour market outcomes are hypothesized in the paper. The study is based on panel data analysis of registered individual data for the period 1995–2009. The data presented here show that differences in earnings and labour force participation can be explained by individual characteristics such as age, education, civil status, and years since migration. Ethnic differences diminish with integration period, though not in each group of immigrants. Gaps in labour outcomes are less evident for skilled immigrants. The ethnic differences are also less pronounced for female labour immigrants compared to women who immigrated for other reasons. There is a slight geographical variation in labour market outcomes, but no obvious trends are seen in the spatial distribution of them.

Language: English
Keywords: employmentearningsArcticintegration of immigrants

In book

The Arctic Yearbook 2014
[б.и.], 2014.
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