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Measuring Social Connectedness

Author

Listed:
  • Ströbel, Johannes
  • Bailey, Michael
  • Cao, Ruiqing
  • Kuchler, Theresa
  • Wong, Arlene

Abstract

We introduce a new measure of social connectedness between U.S. county-pairs, as well as between U.S. counties and foreign countries. Our measure, which we call the “Social Connectedness Index†(SCI), is based on the number of friendship links on Facebook, the world’s largest online social networking service. Within the U.S., social connectedness is strongly decreasing in geographic distance between counties: for the population of the average county, 62.8% of friends live within 100 miles. The populations of counties with more geographically dispersed social networks are generally richer, more educated, and have a higher life expectancy. Region-pairs that are more socially connected have higher trade flows, even after controlling for geographic distance and the similarity of regions along other economic and demographic measures. Higher social connectedness is also associated with more cross-county migration and patent citations. Social connectedness between U.S. counties and foreign countries is correlated with past migration patterns, with social connectedness decaying in the time since the primary migration wave from that country. Trade with foreign countries is also strongly related to social connectedness. These results suggest that the SCI captures an important role of social networks in facilitating both economic and social interactions. Our findings also highlight the potential for the SCI to mitigate the measurement challenges that pervade empirical research on the role of social interactions across the social sciences.

Suggested Citation

  • Ströbel, Johannes & Bailey, Michael & Cao, Ruiqing & Kuchler, Theresa & Wong, Arlene, 2017. "Measuring Social Connectedness," CEPR Discussion Papers 12146, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:12146
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    Cited by:

    1. Michael Bailey & Eduardo Dávila & Theresa Kuchler & Johannes Stroebel, 2019. "House Price Beliefs And Mortgage Leverage Choice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(6), pages 2403-2452.
    2. Yilmazkuday, Hakan, 2012. "Understanding interstate trade patterns," Journal of International Economics, Elsevier, vol. 86(1), pages 158-166.
    3. Büchel, Konstantin & Ehrlich, Maximilian v., 2020. "Cities and the structure of social interactions: Evidence from mobile phone data," Journal of Urban Economics, Elsevier, vol. 119(C).
    4. Bäckman, Claes & Hanspal, Tobin, 2018. "Participation and Losses in Multi-Level Marketing: Evidence from an FTC Settlement," Working Papers 2018:13, Lund University, Department of Economics, revised 22 Aug 2019.
    5. Aaronson, Daniel & Faber, Jacob & Hartley, Daniel & Mazumder, Bhashkar & Sharkey, Patrick, 2021. "The long-run effects of the 1930s HOLC “redlining” maps on place-based measures of economic opportunity and socioeconomic success," Regional Science and Urban Economics, Elsevier, vol. 86(C).
    6. Bogang Jun & Aamena Alshamsi & Jian Gao & César A. Hidalgo, 2020. "Bilateral relatedness: knowledge diffusion and the evolution of bilateral trade," Journal of Evolutionary Economics, Springer, vol. 30(2), pages 247-277, April.
    7. Bogang Jun & Aamena Alshamsi & Jian Gao & Cesar A Hidalgo, 2017. "Relatedness, Knowledge Diffusion, and the Evolution of Bilateral Trade," Papers 1709.05392, arXiv.org.
    8. Badarinza, Cristian & Ramadorai, Tarun, 2018. "Home away from home? Foreign demand and London house prices," Journal of Financial Economics, Elsevier, vol. 130(3), pages 532-555.
    9. repec:spo:wpmain:info:hdl:2441/4j5snkuat19kma9diah5p0g5eq is not listed on IDEAS
    10. Igra, Mark & Kenworthy, Nora & Luchsinger, Cadence & Jung, Jin-Kyu, 2021. "Crowdfunding as a response to COVID-19: Increasing inequities at a time of crisis," Social Science & Medicine, Elsevier, vol. 282(C).
    11. Nathan Deutscher & Bhashkar Mazumder, 2023. "Measuring Intergenerational Income Mobility: A Synthesis of Approaches," Journal of Economic Literature, American Economic Association, vol. 61(3), pages 988-1036, September.
    12. Kim, Jun Sung & Patacchini, Eleonora & Picard, Pierre M. & Zenou, Yves, 2017. "Urban Interactions," Working Paper Series 1192, Research Institute of Industrial Economics.
    13. Ma, Dan & Zhang, Chuan & Hui, Yarong & Xu, Bing, 2022. "Economic uncertainty spillover and social networks," Journal of Business Research, Elsevier, vol. 145(C), pages 454-467.
    14. repec:hal:spmain:info:hdl:2441/4j5snkuat19kma9diah5p0g5eq is not listed on IDEAS
    15. Mr. Damien Puy & Mr. Anil Ari & Ms. Yu Shi, 2020. "Foreign Demand and Local House Prices: Evidence from the US," IMF Working Papers 2020/043, International Monetary Fund.

    More about this item

    Keywords

    Social Networks; Measurement; Homophily; Diffusion of information; Patent citations; Trade; Migration;
    All these keywords.

    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • F1 - International Economics - - Trade
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers

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