A network analytical approach to the study of labour market mobility

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The aim of this paper is to present a new network analytical method for analysis of social mobility between categories like occupations or industries. The method consists of two core components; the algorithm MONECA (Mobility Network Clustering Algorithm), and the intensity measure of Relative Risk (RR), which enable us to identify clusters of inter-mobile categories. We apply the method to data of the labour market mobility in Denmark 2000-2007 and demonstrate how this new method can overcome some long standing obstacles to the advance of labour market segmentation theory: Instead of the typical theory driven definition of the labour market segments, the use of social network analysis enable a data driven definition of the segments based on the direct observation of mobility between job-positions, which reveals a number of new findings.
Original languageEnglish
Publication date2013
Number of pages31
Publication statusPublished - 2013
EventXXXIII Sunbelt Social Networks Conference of the International Network for Social Network Analysis (INSNA) - Universität Hamburg, Hamborg, Germany
Duration: 21 May 201326 May 2013

Conference

ConferenceXXXIII Sunbelt Social Networks Conference of the International Network for Social Network Analysis (INSNA)
LocationUniversität Hamburg
CountryGermany
CityHamborg
Period21/05/201326/05/2013

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