The More You Know: Information Effects on Job Application Rates in a Large Field Experiment

• 成果类型: Article
• 署名作者: Gee, Laura K.
• 署名单位: Tufts University
• 刊物名称: MANAGEMENT SCIENCE
• ISSN/ISSBN: 0025-1909
• DOI: 10.1287/mnsc.2017.2994
• 发表日期: 2019
• 页码: 2077-2094
• 关键词: field experiment; labor search; social information; big data; GENDER; uncertainty; COMPETITION

摘要

This paper presents the results from a 2.3-million-person field experiment that varies whether or not a job seeker sees the number of applicants for a job posting on a large job-posting website, LinkedIn. This intervention increases the likelihood that a person will finish an application by 3.5%. Women have a larger increase in their likelihood of finishing an application than men. Overall, adding this information to a job posting may offer a light-touch way to both increase application rates and alter the diversity of the applicant pool.