劳动力市场中的税收筹划知识扩散

John M. Barrios, John Gallemore
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引用次数: 4

摘要

我们考察了劳动力市场在多大程度上促进了企业间税收筹划知识的传播。使用标准普尔1500公司之间税务部门员工流动的新数据集,我们发现,从税收积极的公司雇佣税务员工后,公司的税收规划增加了。这一发现适用于各种研究设计和规范。与税收筹划知识驱动结果一致的是,我们发现当员工参与董事级别的角色并且拥有更多的经验时,税收筹划的好处更加实质性。进一步的测试表明,税收筹划知识在本质上是高度具体的:当招聘公司和前公司相似时(即在同一部门经营或有类似的国外业务),避税的增加更大,公司更有可能从具有相似特征的公司雇佣税务部门的员工。最后,我们没有发现员工离职后原公司的税收筹划发生变化,这表明税收筹划知识只是传播给了招聘公司,而没有离开原公司。我们的研究记录了劳动力市场在企业间税收筹划知识传播中的第一阶作用,我们的研究结果表明,税务部门的人力资本是税收筹划结果的核心决定因素。这篇论文被会计Suraj Srinivasan接受。补充材料:在线附录和数据可在https://doi.org/10.1287/mnsc.2023.4741上获得。
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Tax Planning Knowledge Diffusion via the Labor Market
We examine the extent to which the labor market facilitates the diffusion of tax-planning knowledge across firms. Using a novel data set of tax department employee movements between S&P 1500 firms, we find that firms experience an increase in their tax planning after hiring a tax employee from a tax-aggressive firm. This finding is robust to various research designs and specifications. Consistent with tax-planning knowledge driving the result, we find that the tax-planning benefits are more substantial when the employee is involved in a director-level role and has more experience. Further tests suggest that tax-planning knowledge is highly specific in nature: the increase in tax avoidance is larger when the hiring and former firms are similar (i.e., operating in the same sector or having similar foreign operations), and firms are more likely to hire tax department employees from firms with similar characteristics. Finally, we do not find that the prior firm’s tax planning changes after the employee leaves the firm, suggesting that the tax-planning knowledge simply spreads to the hiring firm and does not leave the prior firm. Our study documents the first order role of the labor market in the diffusion of tax-planning knowledge across firms, and our findings suggest that tax department human capital is a central determinant of tax-planning outcomes. This paper was accepted by Suraj Srinivasan, accounting. Supplemental Material: The online appendix and data are available at https://doi.org/10.1287/mnsc.2023.4741 .
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