Talent Rewards, Talent Uncertainty, and Career Tracks

Byeongju Jeong
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Abstract

I present a model in which (1) a more talent-demanding task increases both rewards for high talent and the penalty for low talent due to a greater fixed cost of production, and (2) individual talent is task-specific and talent updates occur only for tasks near the attempted task, which implies a task-sequence problem in which the initial task constrains subsequent task choices. Rising talent rewards and penalty stemming from a rising scale economy motivate young workers to choose a more talent-demanding task, raise the failure rate (i.e., the probability of the updated talent being lower than the exit threshold), and concentrate income gains in a diminishing fraction of high-talent workers. Rising talent rewards and penalty also increase the share of young workers subject to binding minimum current-income constraints, thus increasing the dispersion of tasks among young workers. The model sheds light on the rising stratification of careers among young workers and the rising polarization of the residual labor income distribution (i.e., the labor income distribution controlling for observable worker characteristics such as education and age).
人才奖励、人才不确定性和职业轨迹
我提出了一个模型,其中(1)由于更高的固定生产成本,对人才要求更高的任务增加了对高人才的奖励和对低人才的惩罚,(2)个人人才是任务特定的,人才更新只发生在靠近尝试任务的任务上,这意味着一个任务序列问题,其中初始任务限制了后续任务的选择。规模经济的增长带来的人才奖惩的上升,促使年轻员工选择对人才要求更高的任务,提高了失败率(即,更新的人才低于退出门槛的概率),并将收入收益集中在越来越少的高人才身上。人才奖励和惩罚的提高也增加了受当前最低收入约束的年轻工人的比例,从而增加了年轻工人之间的任务分散。该模型揭示了年轻工人的职业分层和剩余劳动收入分配(即控制可观察到的工人特征(如教育和年龄)的劳动收入分配)两极分化的加剧。
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