引荐在劳动力市场流动停滞、不平等与低效率中的作用

We study the consequences of job markets' heavy reliance on referrals. Referrals lead to more opportunities for workers to be hired, which lead to better matches and increased productivity but also disadvantage job seekers with few or no connections to employed workers, increasing inequality. Coupled with homophily, referrals also lead to immobility. We identify conditions under which distributing referrals more evenly reduces inequality and improves future productivity and mobility. We use the model to examine the short- and long-run welfare impacts of policies such as affirmative action and algorithmic fairness.