Redes y autoempleo: Evidencia con datos de Facebook

Gutierrez-Lythgoe, Antonio (2023): Redes y autoempleo: Evidencia con datos de Facebook.

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.

• Item Type: MPRA Paper
• English Title: Networks and self-employment: Evidence from Facebook data
• Language: Spanish
• Keywords: Self-employment; Social networks; Social Connectedness Index; Facebook; Big Data
• Subjects: J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J23 - Labor Demand; L - Industrial Organization > L8 - Industry Studies: Services > L86 - Information and Internet Services ; Computer Software

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