Using Administrative Data to Study U.S. Private Business Investment

使用行政数据研究美国私营企业投资

• 批准号: 2214248
• 负责人: Ellen McGrattan
• 金额: $ 27.98万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2214248&HistoricalAwards=false
• 关键词: Using; Administrative; Data; Study; U.S.

This award funds research that seeks to shed light on private business investment. Privately-owned firms account for over half of US business net income and are central to studies of economic growth, wealth, and public finance. Yet little is known about their activities-most importantly, the investments these businesses make to generate significant incomes and wealth for their owners. The primary reason is that most private-business assets are intangibles that are self-created by the owners and do not appear on any balance sheet until the businesses are sold. Data from sales of businesses show that these assets account for most of the purchase price and include intangibles such as customer lists, trade names, workforce in place, know-how, and goodwill. The overall goal of the project is to develop new theory that can be used to measure these latent investments and ultimately to study their role for tax administration and policy design.The project would advance the state of our empirical knowledge in two ways: (1) by constructing longitudinal panels of business and their owners in order to track business activities over time and (2) by quantifying the role of business investments in generating significant incomes and wealth for these businesses and their owners. The current state of knowledge about private business investment is lacking because it is based on business surveys with limited longitudinal panels and limited information on business assets or transfers. The projects would advance the state of our theoretical knowledge by developing theory that explicitly incorporates self-created intangibles that are transferable upon sale, and theoretical predictions that can be directly tested by comparing simulated tax filings to actual ones.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该奖项为寻求揭示私人商业投资的研究提供资金。私营企业占美国企业净收入的一半以上，是研究经济增长、财富和公共财政的核心。然而，人们对它们的活动知之甚少--最重要的是，这些企业为为所有者创造可观收入和财富而进行的投资。主要原因是，大多数私营企业资产是所有者自己创造的无形资产，在企业出售之前不会出现在任何资产负债表上。来自企业销售的数据显示，这些资产占收购价格的大部分，包括客户名单、商号、现有劳动力、技术诀窍和商誉等无形资产。该项目的总体目标是开发可用于衡量这些潜在投资的新理论，并最终研究它们在税收管理和政策设计中的作用。该项目将通过两种方式推进我们的经验知识状态：(1)通过构建企业及其所有者的纵向面板，以便跟踪一段时间内的商业活动；(2)通过量化企业投资在为这些企业及其所有者创造可观收入和财富方面的作用。目前缺乏关于私营企业投资的知识，因为它是以商业调查为基础的，纵向小组有限，关于企业资产或转让的信息有限。这些项目将通过开发明确包含可在销售时转让的自创无形资产的理论，以及可以通过将模拟纳税申报与实际纳税申报进行比较来直接检验的理论预测，来提升我们的理论知识水平。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。