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Using register data to deduce patterns of social exchange
Mälardalen University, School of Education, Culture and Communication, Educational Sciences and Mathematics. Stockholm University, Stockholm, Sweden; SIMSEG, Institute for Analytical Sociology, Linköping University, Sweden. (MAM)
2017 (English)In: Scandinavian Journal of Public Health, ISSN 1403-4948, E-ISSN 1651-1905, Vol. 45, no 17_suppl, 56-61 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a novel method for deducting propensities for social exchange between individuals based on the choices they make, and based on factors such as country of origin, sex, school grades and socioeconomic background. The objective here is to disentangle the effect of social ties from the other factors, in order to find patterns of social exchange. This is done through a control-treatment design on analysing available data, where the 'treatment' is similarity of choices between socially connected individuals, and the control is similarity of choices between non-connected individuals. Structural dependencies are controlled for and effects from different classes are pooled through a mix of methods from network and meta-analysis. The method is demonstrated and tested on Swedish register data on students at upper secondary school. The results show that having similar grades is a predictor of social exchange. Also, previous results from Norwegian data are replicated, showing that students cluster based on country of origin. 

Place, publisher, year, edition, pages
SAGE Publications Ltd , 2017. Vol. 45, no 17_suppl, 56-61 p.
National Category
Other Social Sciences Other Mathematics
Research subject
Mathematics/Applied Mathematics
Identifiers
URN: urn:nbn:se:mdh:diva-36140DOI: 10.1177/1403494817702562ISI: 000405007800011Scopus ID: 2-s2.0-85022200455OAI: oai:DiVA.org:mdh-36140DiVA: diva2:1128718
Available from: 2017-07-27 Created: 2017-07-27 Last updated: 2017-09-30Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • Other style
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Language
  • de-DE
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  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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