Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This paper develops a model of frictional job search in which job referral networks evolve endogenously in response to local labor market conditions. An intuitive “Network Balance” condition characterizes the equilibrium density of the job referral network. The model helps explain observed counter-cyclical movements in referral-based search, and shows that endogenous referral networks may amplify labor market shocks. It also implies that the use of referrals by others limits the effectiveness of referral-based search. I find support for this prediction using data from the Cornell National Social Survey. The data show workers are less likely to find jobs through referral in markets where referrals are more widely used.