Optimal Allocation of Seats in the Presence of Peer Effects: Evidence from a Job Training Program

• 成果类型: Article; Early Access
• 署名作者: Baird, Matthew D.; Engberg, John; Opper, Isaac M.
• 署名单位: RAND Corporation
• 刊物名称: JOURNAL OF LABOR ECONOMICS
• ISSN/ISSBN: 0734-306X
• DOI: 10.1086/719968
• 发表日期: 2023
• 关键词: network; assignment

摘要

We model optimal treatment assignment in programs with a limited number of seats and study how the presence of peer effects impacts the optimal allocation rule. We then use data from a randomized control trial to show evidence that there are large peer effects in the context of job training for disadvantaged adults in the United States. Finally, we combine the model and the empirics to show that the program would have had a much greater impact if the assignment choices had accounted for the peer effects.