从实践中学习和本-波拉斯:生命周期预测和政策影响

A. Blandin
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引用次数: 16

摘要

许多政府政策会影响企业获取人力资本的激励。在分析这些政策的文献中,有两个主力模型占主导地位:边做边学(LBD)和Ben-Porath (BP)。本文对这些模型有两个新的发现。首先,LBD和BP对生命周期收益增长的预测不同。英国石油公司预测,工人收入增长率的异质性将在整个生命周期中消失,因为工人随着年龄的增长而停止投资。LBD模型无法复制这一特征,因为工人在整个生命周期中自动积累人力资本。其次,相同的模型特征在BP和LBD之间产生不同的生命周期预测,也对影响人力资本积累回报的政策产生不同的影响。为了定量地说明这一点,我表明,在BP下,提高高收入者的边际劳动税率对人力资本积累的抑制作用更大。因此,最高边际所得税率的拉弗曲线更平坦,峰值比BP和LBD低10个百分点。
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Learning by Doing and Ben-Porath: Life-cycle Predictions and Policy Implications
Abstract Many government policies affect incentives to acquire human capital. Two workhorse models dominate the literature analyzing these policies: Learning by Doing (LBD) and Ben-Porath (BP). This paper makes two novel findings related to these models. First, LBD and BP generate different predictions for life-cycle earnings growth. BP predicts that the heterogeneity in earnings growth rates across workers should disappear over the life-cycle because the workers stop investing as they age. The LBD model cannot replicate this feature because workers accumulate human capital automatically throughout the life-cycle. Second, the same model features that generate different life-cycle predictions between BP and LBD also generate different implications for policies that affect the payoff to human capital accumulation. To illustrate this quantitatively, I show that increasing marginal labor tax rates for top earners depresses human capital accumulation more under BP. As a result, the Laffer curve for top marginal income tax rates is flatter, and peaks 10 percentage points lower, with BP versus LBD.
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