G2TT
来源类型Discussion paper
规范类型论文
来源IDDP15356
DP15356 Task Allocation and On-the-job Training
Mariagiovanna Baccara; SangMok Lee; Leeat Yariv
发表日期2020-10-11
出版年2020
语种英语
摘要We study dynamic task allocation when service providers' expertise evolves. Clients arrive sequentially seeking service. Seniors provide superior service but entail waiting in a queue, which progresses at a speed dependent on their volume. Juniors offer service without wait and become seniors with experience. We show that clients choose senior service too frequently, generating longer waits and little training relative to the social optimum. Welfare gains from centralization are greater for larger institutions, better training technologies, and lower waiting costs. Finally, monitoring the seniors' queue increases welfare but may decrease training. Methodologically, we explore a matching setting in which agents' types are endogenous, and illustrate the usefulness of queueing theory techniques.
主题Industrial Organization
关键词Dynamic matching Training by doing Market design
URLhttps://cepr.org/publications/dp15356
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/544338
推荐引用方式
GB/T 7714
Mariagiovanna Baccara,SangMok Lee,Leeat Yariv. DP15356 Task Allocation and On-the-job Training. 2020.
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