Skip to main content
Our website will undergo scheduled maintenance on Sunday, December 17. During this time, connection to our website and some of its features may be unavailable. Thank you for your patience and we apologize for any inconvenience.
Skip to main content
SHARE   Share on Twitter Share on Facebook Share on LinkedIn Email

Network Search: Climbing the Job Ladder Faster

We introduce an irregular network structure into a model of frictional, on-the-job search in which workers find jobs through their network connections or directly from firms. We show that jobs found through network search have wages that stochastically dominate those found through direct contact. Because we consider irregular networks, heterogeneity in the worker''''s position within the network leads to heterogeneity in wage and employment dynamics: better connected workers climb the job ladder faster and do not fall off it as far. These workers also pass along higher quality referrals, which benefits their connections. Despite this rich heterogeneity from the network structure, the mean-field approach allows the problem of our workers to be formulated tractably and recursively. We then calibrate and study the wage and employment dynamics coming from our job ladder with network heterogeneity. This quantitative version of our mechanism is consistent with several features of empirical studies on networks and labor markets: jobs found through networks have higher wages and last longer.

Read Full Text

DOI: 10.20955/wp.2016.009


Subscribe to our newsletter


Follow us

Twitter logo Google Plus logo Facebook logo YouTube logo LinkedIn logo
Back to Top