Distinguishing neighbourhood and workplace network effects on individual income: evidence from Sweden
Distinguishing neighbourhood and workplace network effects on individual income: evidence from Sweden. Regional Studies. This paper investigates the effects on individuals' income of two social networks in which individuals are embedded: their residential neighbourhood and their workplace. The...
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| Veröffentlicht in: | Regional studies 2017-11, Vol.51 (11), p.1652-1664 |
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| creator | Mellander, Charlotta Stolarick, Kevin Lobo, José |
| description | Distinguishing neighbourhood and workplace network effects on individual income: evidence from Sweden. Regional Studies. This paper investigates the effects on individuals' income of two social networks in which individuals are embedded: their residential neighbourhood and their workplace. The paper avails itself of Swedish micro-level data, which make it possible to identify individual workers, and with whom they live next to and work. The spatial extent of the non-workplace social network - from block group to the whole of a metropolitan area - is varied to examine which social community most affects an individual's income. The paper distinguishes between individuals engaged in high- and low-skilled occupations so as to starkly control for differences in education, training and skills. The results suggest that residential neighbourhoods do matter for individuals' income, although the effect is stronger for low-skilled individuals. For both high- and low-skilled individuals, their workplace group skill has the greatest effect on income, but the effect is negative for high-skilled and positive for low-skilled individuals. |
| doi_str_mv | 10.1080/00343404.2016.1236187 |
| format | Article |
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Regional Studies. This paper investigates the effects on individuals' income of two social networks in which individuals are embedded: their residential neighbourhood and their workplace. The paper avails itself of Swedish micro-level data, which make it possible to identify individual workers, and with whom they live next to and work. The spatial extent of the non-workplace social network - from block group to the whole of a metropolitan area - is varied to examine which social community most affects an individual's income. The paper distinguishes between individuals engaged in high- and low-skilled occupations so as to starkly control for differences in education, training and skills. The results suggest that residential neighbourhoods do matter for individuals' income, although the effect is stronger for low-skilled individuals. For both high- and low-skilled individuals, their workplace group skill has the greatest effect on income, but the effect is negative for high-skilled and positive for low-skilled individuals.</description><identifier>ISSN: 0034-3404</identifier><identifier>ISSN: 1360-0591</identifier><identifier>EISSN: 1360-0591</identifier><identifier>DOI: 10.1080/00343404.2016.1236187</identifier><language>eng</language><publisher>Cambridge: Routledge</publisher><subject>Arbeitsplatz ; Communication ; efectos de las redes ; effets du réseau ; Einkommen ; empleos muy cualificados ; high-skilled occupations ; hoch qualifizierte Berufe ; Income ; ingresos ; lieu de travail professions à haut niveau de spécialisation ; lugar de trabajo ; Metropolitan areas ; Nachbarschaften ; Neighborhoods ; neighbourhoods ; network effects ; Netzwerkeffekte ; Occupations ; Professional training ; Regional studies ; Residential areas ; revenus ; Skills ; Social networks ; Social organization ; Training ; vecindarios ; voisinages ; Work ; Workers ; workplace ; Workplaces ; 所得 ; 网络效应 ; 职场 ; 邻里 ; 高技术职业</subject><ispartof>Regional studies, 2017-11, Vol.51 (11), p.1652-1664</ispartof><rights>2016 Regional Studies Association 2016</rights><rights>2016 Regional Studies Association</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c486t-7ba0b85f13f5780a613ac7116659a8a0ab1cdab1b13e289627167f7274623e4e3</citedby><cites>FETCH-LOGICAL-c486t-7ba0b85f13f5780a613ac7116659a8a0ab1cdab1b13e289627167f7274623e4e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27843,27901,27902</link.rule.ids><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-34070$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Mellander, Charlotta</creatorcontrib><creatorcontrib>Stolarick, Kevin</creatorcontrib><creatorcontrib>Lobo, José</creatorcontrib><title>Distinguishing neighbourhood and workplace network effects on individual income: evidence from Sweden</title><title>Regional studies</title><description>Distinguishing neighbourhood and workplace network effects on individual income: evidence from Sweden. Regional Studies. This paper investigates the effects on individuals' income of two social networks in which individuals are embedded: their residential neighbourhood and their workplace. The paper avails itself of Swedish micro-level data, which make it possible to identify individual workers, and with whom they live next to and work. The spatial extent of the non-workplace social network - from block group to the whole of a metropolitan area - is varied to examine which social community most affects an individual's income. The paper distinguishes between individuals engaged in high- and low-skilled occupations so as to starkly control for differences in education, training and skills. The results suggest that residential neighbourhoods do matter for individuals' income, although the effect is stronger for low-skilled individuals. For both high- and low-skilled individuals, their workplace group skill has the greatest effect on income, but the effect is negative for high-skilled and positive for low-skilled individuals.</description><subject>Arbeitsplatz</subject><subject>Communication</subject><subject>efectos de las redes</subject><subject>effets du réseau</subject><subject>Einkommen</subject><subject>empleos muy cualificados</subject><subject>high-skilled occupations</subject><subject>hoch qualifizierte Berufe</subject><subject>Income</subject><subject>ingresos</subject><subject>lieu de travail professions à haut niveau de spécialisation</subject><subject>lugar de trabajo</subject><subject>Metropolitan areas</subject><subject>Nachbarschaften</subject><subject>Neighborhoods</subject><subject>neighbourhoods</subject><subject>network effects</subject><subject>Netzwerkeffekte</subject><subject>Occupations</subject><subject>Professional training</subject><subject>Regional studies</subject><subject>Residential areas</subject><subject>revenus</subject><subject>Skills</subject><subject>Social networks</subject><subject>Social organization</subject><subject>Training</subject><subject>vecindarios</subject><subject>voisinages</subject><subject>Work</subject><subject>Workers</subject><subject>workplace</subject><subject>Workplaces</subject><subject>所得</subject><subject>网络效应</subject><subject>职场</subject><subject>邻里</subject><subject>高技术职业</subject><issn>0034-3404</issn><issn>1360-0591</issn><issn>1360-0591</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNp9kE1v3CAQhlHUSNkm_QmRLPUYeTtjMNg9dbX5aKVIOSTtFWEbdtl4YQN2Vvn3xXLaYy4MI555NTyEXCIsESr4BkAZZcCWBSBfYkE5VuKELJByyKGs8RNZTEw-QWfkc4w7AGCloAuir20crNuMNm5TyZy2m23jx7D1vsuU67KjD8-HXrU6vQ1Tk2ljdDvEzLvMus6-2m5Ufbq2fq-_Zzr12iXcBL_PHo86dRfk1Kg-6i_v9Zz8vr15Wv_M7x_ufq1X93nLKj7kolHQVKVBakpRgeJIVSsQOS9rVSlQDbZdOhqkuqhqXgjkwohCMF5QzTQ9J1dzbjzqw9jIQ7B7Fd6kV1Ze2z8r6cNGbncyiRCQ6K8zfQj-ZdRxkLv0cZcWlFgzZFBTViaqnKk2-BiDNv9TEeTkX_7zLyf_8t1_mvsxz1lnfNirpK7v5KDeeh9MUK61UdKPI_4CkKuNAg</recordid><startdate>20171102</startdate><enddate>20171102</enddate><creator>Mellander, Charlotta</creator><creator>Stolarick, Kevin</creator><creator>Lobo, José</creator><general>Routledge</general><general>Taylor & Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TQ</scope><scope>8BJ</scope><scope>DHY</scope><scope>DON</scope><scope>FQK</scope><scope>JBE</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8X</scope></search><sort><creationdate>20171102</creationdate><title>Distinguishing neighbourhood and workplace network effects on individual income: evidence from Sweden</title><author>Mellander, Charlotta ; Stolarick, Kevin ; Lobo, José</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c486t-7ba0b85f13f5780a613ac7116659a8a0ab1cdab1b13e289627167f7274623e4e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Arbeitsplatz</topic><topic>Communication</topic><topic>efectos de las redes</topic><topic>effets du réseau</topic><topic>Einkommen</topic><topic>empleos muy cualificados</topic><topic>high-skilled occupations</topic><topic>hoch qualifizierte Berufe</topic><topic>Income</topic><topic>ingresos</topic><topic>lieu de travail professions à haut niveau de spécialisation</topic><topic>lugar de trabajo</topic><topic>Metropolitan areas</topic><topic>Nachbarschaften</topic><topic>Neighborhoods</topic><topic>neighbourhoods</topic><topic>network effects</topic><topic>Netzwerkeffekte</topic><topic>Occupations</topic><topic>Professional training</topic><topic>Regional studies</topic><topic>Residential areas</topic><topic>revenus</topic><topic>Skills</topic><topic>Social networks</topic><topic>Social organization</topic><topic>Training</topic><topic>vecindarios</topic><topic>voisinages</topic><topic>Work</topic><topic>Workers</topic><topic>workplace</topic><topic>Workplaces</topic><topic>所得</topic><topic>网络效应</topic><topic>职场</topic><topic>邻里</topic><topic>高技术职业</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mellander, Charlotta</creatorcontrib><creatorcontrib>Stolarick, Kevin</creatorcontrib><creatorcontrib>Lobo, José</creatorcontrib><collection>CrossRef</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Högskolan i Jönköping</collection><jtitle>Regional studies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mellander, Charlotta</au><au>Stolarick, Kevin</au><au>Lobo, José</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distinguishing neighbourhood and workplace network effects on individual income: evidence from Sweden</atitle><jtitle>Regional studies</jtitle><date>2017-11-02</date><risdate>2017</risdate><volume>51</volume><issue>11</issue><spage>1652</spage><epage>1664</epage><pages>1652-1664</pages><issn>0034-3404</issn><issn>1360-0591</issn><eissn>1360-0591</eissn><abstract>Distinguishing neighbourhood and workplace network effects on individual income: evidence from Sweden. Regional Studies. This paper investigates the effects on individuals' income of two social networks in which individuals are embedded: their residential neighbourhood and their workplace. The paper avails itself of Swedish micro-level data, which make it possible to identify individual workers, and with whom they live next to and work. The spatial extent of the non-workplace social network - from block group to the whole of a metropolitan area - is varied to examine which social community most affects an individual's income. The paper distinguishes between individuals engaged in high- and low-skilled occupations so as to starkly control for differences in education, training and skills. The results suggest that residential neighbourhoods do matter for individuals' income, although the effect is stronger for low-skilled individuals. For both high- and low-skilled individuals, their workplace group skill has the greatest effect on income, but the effect is negative for high-skilled and positive for low-skilled individuals.</abstract><cop>Cambridge</cop><pub>Routledge</pub><doi>10.1080/00343404.2016.1236187</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Regional studies, 2017-11, Vol.51 (11), p.1652-1664 |
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| language | eng |
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| source | PAIS Index; Business Source Complete |
| subjects | Arbeitsplatz Communication efectos de las redes effets du réseau Einkommen empleos muy cualificados high-skilled occupations hoch qualifizierte Berufe Income ingresos lieu de travail professions à haut niveau de spécialisation lugar de trabajo Metropolitan areas Nachbarschaften Neighborhoods neighbourhoods network effects Netzwerkeffekte Occupations Professional training Regional studies Residential areas revenus Skills Social networks Social organization Training vecindarios voisinages Work Workers workplace Workplaces 所得 网络效应 职场 邻里 高技术职业 |
| title | Distinguishing neighbourhood and workplace network effects on individual income: evidence from Sweden |
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