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Redes y autoempleo: Evidencia con datos de Facebook
[Networks and self-employment: Evidence from Facebook data]

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  • Gutierrez-Lythgoe, Antonio

Abstract

This study empirically analyzes the effect of social connectivity between counties in the United States on their self-employment rate. To do this, we use the Social Connectivity Index, which indicates the degree of social connectivity between two regions based on the friendship relationships among users of the Facebook social network. e observed that social connectivity with counties with high self-employment rates is positively and statistically correlated with a county's self-employment rate, while unemployment rate, median household income, and population density are negatively correlated with the self-employment rate. In addition, statistically significant correlations were found between social connectivity and the self-employment rate in interaction with median household income, college education gap, median age, and percentage of male population. These findings suggest that social connection can influence the self-employment rate of a region, especially in those counties with lower median household income, higher education levels, and advanced age.

Suggested Citation

  • Gutierrez-Lythgoe, Antonio, 2023. "Redes y autoempleo: Evidencia con datos de Facebook [Networks and self-employment: Evidence from Facebook data]," MPRA Paper 116656, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:116656
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    More about this item

    Keywords

    Self-employment; Social networks; Social Connectedness Index; Facebook; Big Data;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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