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Work and home location: Possible role of social networks

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  • Tilahun, Nebiyou
  • Levinson, David

Abstract

This research explores to what extent people's work locations are similar to that of those who live around them. Using the Longitudinal Employer-Household Dynamics data set and the 2000 decennial census, we investigate the home and work locations of different census block residents in the Twin Cities (Minneapolis-St. Paul) metropolitan area. Our aim is to investigate if people who share a residence neighborhood also share work locations to a degree beyond what would be explained by distanhe observed patterns is the role neighborhood level and work place social networks play in locating jobs and residences respectively.

Suggested Citation

  • Tilahun, Nebiyou & Levinson, David, 2011. "Work and home location: Possible role of social networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 323-331, May.
    • Handle: RePEc:eee:transa:v:45:y:2011:i:4:p:323-331
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    References listed on IDEAS

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    1. Fontaine, François, 2008. "Why are similar workers paid differently? the role of social networks," Journal of Economic Dynamics and Control, Elsevier, vol. 32(12), pages 3960-3977, December.
    2. Devine, T. J. & Kiefer, N. M., 1995. "The empirical status of job search theory," Labour Economics, Elsevier, vol. 2(1), pages 101-101, March.
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    4. Douglas Massey & Nancy Denton, 1989. "Hypersegregation in U.S. Metropolitan Areas: Black and Hispanic Segregation Along Five Dimensions," Demography, Springer;Population Association of America (PAA), vol. 26(3), pages 373-391, August.
    5. William Clark, 1992. "Residential preferences and residential choices in a multiethnic context," Demography, Springer;Population Association of America (PAA), vol. 29(3), pages 451-466, August.
    6. Cattell, Vicky, 2001. "Poor people, poor places, and poor health: the mediating role of social networks and social capital," Social Science & Medicine, Elsevier, vol. 52(10), pages 1501-1516, May.
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    Cited by:

    1. Michael Smart, 2015. "A nationwide look at the immigrant neighborhood effect on travel mode choice," Transportation, Springer, vol. 42(1), pages 189-209, January.
    2. Davidson, Joshua H. & Ryerson, Megan S., 2021. "Modeling regional disparity and the reverse commute," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 124-139.
    3. Carlos Carrion & Nebiyou Tilahun & David Levinson, 2011. "Monte Carlo Simulation of Adaptive Stated Preference Survey with a case study: Effects of Aggregate Mode Shares on Individual Mode Choice," Working Papers 000093, University of Minnesota: Nexus Research Group.
    4. Andrew Owen & David Levinson, 2015. "Developing a Comprehensive US Transit Accessibility Database," Working Papers 000141, University of Minnesota: Nexus Research Group.
    5. Owen, Andrew & Levinson, David M., 2015. "Modeling the commute mode share of transit using continuous accessibility to jobs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 110-122.
    6. Elldér, Erik, 2014. "Residential location and daily travel distances: the influence of trip purpose," Journal of Transport Geography, Elsevier, vol. 34(C), pages 121-130.
    7. Acheampong, Ransford A., 2018. "Towards incorporating location choice into integrated land use and transport planning and policy: A multi-scale analysis of residential and job location choice behaviour," Land Use Policy, Elsevier, vol. 78(C), pages 397-409.
    8. Johannes Illenberger & Kai Nagel & Gunnar Flötteröd, 2013. "The Role of Spatial Interaction in Social Networks," Networks and Spatial Economics, Springer, vol. 13(3), pages 255-282, September.
    9. Aiga Stokenberga, 2019. "How family networks drive residential location choices: Evidence from a stated preference field experiment in Bogotá, Colombia," Urban Studies, Urban Studies Journal Limited, vol. 56(2), pages 368-384, February.

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    More about this item

    Keywords

    Contacts Job finding Home finding Work commute Social networks Home and work location sharing;

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General

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