The Effects of Algorithmic Labor Market Recommendations: Evidence from a Field Experiment
通过在线劳动力市场的实地实验发现，算法向雇主推荐求职者能显著提高招聘完成率，技术岗位的招聘完成率比对照组高20%，且未挤占非推荐候选人的就业机会。
Algorithmically recommending workers to employers for the purpose of recruiting can substantially increase hiring: in an experiment conducted in an online labor market, employers with technical job vacancies that received recruiting recommendations had a 20% higher fill rate compared to the control. There is no evidence that the treatment crowded out hiring of nonrecommended candidates. The experimentally induced recruits were highly positively selected and were statistically indistinguishable from the kinds of workers employers recruit “on their own.” Recommendations were most effective for job openings that were likely to receive a smaller applicant pool.