EconPapers    
Economics at your fingertips  
 

Metropolitan Social Networks and Migration: Insights From Facebook Connections

Haoqian Zou

Journal of Regional Science, 2025, vol. 65, issue 5, 1321-1337

Abstract: This paper investigates the role of social networks in shaping individual migration decisions in the U.S., with a particular focus on the COVID‐19 pandemic period. Using nationally representative migration data from the American Community Survey and the metropolitan‐level Social Connectedness Index from Facebook, I estimate a conditional logit model, employing historical ethnic distance as an instrumental variable to address endogeneity. The results indicate that social networks significantly influence migration choices, with heterogeneous effects across demographic groups and geographic settings. The effect is stronger for moves toward destinations heavily affected by COVID‐19 and for individuals originating from areas with lower pandemic exposure.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1111/jors.70004

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jregsc:v:65:y:2025:i:5:p:1321-1337

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0022-4146

Access Statistics for this article

Journal of Regional Science is currently edited by Marlon G. Boarnet, Matthew Kahn and Mark D. Partridge

More articles in Journal of Regional Science from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-11-07
Handle: RePEc:bla:jregsc:v:65:y:2025:i:5:p:1321-1337