Job Referral Networks and the Determination of Earnings in Local Labor Markets
利用美国雇主-雇员地理详细数据，研究发现工人更可能通过邻居在高薪企业就业而跳槽到高薪企业，且本地推荐网络有助于高能力工人匹配高薪企业。
Despite their documented importance in the labor market, little is known about how workers use social networks to find jobs and their resulting effect on earnings. I use geographically detailed US employer-employee data to infer the role of social networks in connecting workers to jobs in high-paying firms. To identify social interactions in job search, I exploit variation in social network quality within small neighborhoods. Workers are more likely to change jobs, and more likely to move to a higher-paying firm, when their neighbors are employed in high-paying firms. Furthermore, local referral networks help match high-ability workers to high-paying firms.