IDEAS home Printed from https://ideas.repec.org/a/taf/regstd/v51y2017i11p1652-1664.html
   My bibliography  Save this article

Distinguishing neighbourhood and workplace network effects on individual income: evidence from Sweden

Author

Listed:
  • Charlotta Mellander
  • Kevin Stolarick
  • José Lobo

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.

Suggested Citation

  • Charlotta Mellander & Kevin Stolarick & José Lobo, 2017. "Distinguishing neighbourhood and workplace network effects on individual income: evidence from Sweden," Regional Studies, Taylor & Francis Journals, vol. 51(11), pages 1652-1664, November.
    • Handle: RePEc:taf:regstd:v:51:y:2017:i:11:p:1652-1664
    DOI: 10.1080/00343404.2016.1236187
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00343404.2016.1236187
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00343404.2016.1236187?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Roemer, J-E & Wets, R-J-B, 1994. "Neighborhood Effects on Belief Formation and the Distribution of Education and Income," Papers 94-02, California Davis - Institute of Governmental Affairs.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gundi Knies & Patricia C Melo & Min Zhang, 2021. "Neighbourhood deprivation, life satisfaction and earnings: Comparative analyses of neighbourhood effects at bespoke scales," Urban Studies, Urban Studies Journal Limited, vol. 58(13), pages 2640-2659, October.
    2. José Lobo & Charlotta Mellander, 2020. "Let’s stick together: Labor market effects from immigrant neighborhood clustering," Environment and Planning A, , vol. 52(5), pages 953-980, August.
    3. Kai Zhao & Yuesheng Zhang & Jinkai Zhao & Xiaojing Li, 2020. "Understanding Contributions of the Creative Class to Sustainable Economic Growth in China," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    4. Lobo, José & Mellander, Charlotta, 2019. "Let’s Stick Together: Labor Market Effects from Immigrant Neighborhood Clustering," Working Paper Series in Economics and Institutions of Innovation 475, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    5. Kai Zhao & Yuesheng Zhang & Jinkai Zhao, 2020. "Exploring the Complexity of Location Choices of the Creative Class in Europe: Evidence from the EU Labor Force Survey 1995–2010," Sustainability, MDPI, vol. 12(4), pages 1-22, February.
    6. Anna Baranowska-Rataj & Zoltán Elekes & Rikard Eriksson, 2021. "Escaping from Low-Wage Employment: The Role of Co-worker Networks," CERS-IE WORKING PAPERS 2123, Institute of Economics, Centre for Economic and Regional Studies.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marisa Hidalgo-Hidalgo, 2007. "On the optimal allocation of students when peer effect works: Tracking vs Mixing," Working Papers 07.14, Universidad Pablo de Olavide, Department of Economics.
    2. Marisa Hidalgo Hidalgo, 2009. "Tracking can be more equitable than mixing: peer effects and college attendance," Working Papers 09.04, Universidad Pablo de Olavide, Department of Economics, revised Jul 2012.
    3. Piketty, Thomas, 2000. "Theories of persistent inequality and intergenerational mobility," Handbook of Income Distribution, in: A.B. Atkinson & F. Bourguignon (ed.), Handbook of Income Distribution, edition 1, volume 1, chapter 8, pages 429-476, Elsevier.
    4. Mellander, Charlotta & Stolarick, Kevin & Lobo, José, 2014. "Distinguishing Neighborhood and Workplace Effects on Individual Productivity: Evidence from Sweden," Working Paper Series in Economics and Institutions of Innovation 386, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    5. Steve Gibbons, 2002. "Neighbourhood Effects on Educational Achievement," CEE Discussion Papers 0018, Centre for the Economics of Education, LSE.
    6. Marisa Hidalgo, 2005. "Peer Group Effects And Optimal Education System," Working Papers. Serie AD 2005-12, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:regstd:v:51:y:2017:i:11:p:1652-1664. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CRES20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.