Doctoral Dissertation Research in Economics: The Economic and Behavioral Effects of a Value Added Tax: Evidence from Firm-level Data

经济学博士论文研究：增值税的经济和行为影响：来自企业层面数据的证据

• 批准号: 1530591
• 负责人: James Alm
• 金额: $ 1.35万
• 依托单位: Tulane University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1530591&HistoricalAwards=false
• 关键词: Doctoral; Dissertation; Research; Economics; Economic

The Value-Added Tax (VAT) is a tax on consumption. It is one of the youngest yet among the most important sources of government revenue. The VAT was first introduced in 1967 in Brazil and Denmark and by 2013 more than 160 countries had adopted it. One of the key reasons for the rapid adoption of the VAT is that it is believed to be an efficient tax instrument. That is, a VAT does not create distortions in firms' production decisions, implying that government can raise revenue with minimum cost and without impeding economic growth. A key weakness of this prediction is that it is based on an environment with perfect tax compliance and perfect tax enforcement, which is often violated in practice. Thus, whether the VAT is an efficient tax system is ultimately an empirical question. There is, however, surprisingly little evidence evaluating these efficiency properties of a VAT. This proposed research uses a commercial database that contains information on millions of firms for up to 10 years, to estimate the causal impact of a VAT on firm' growth (e.g, output, employment, investment spending, and productivity) and firms' behavioral responses (e.g, under-reporting of the revenue or over-reporting of the cost to claim undue tax credit).Randomized experiments are considered the gold standard in studying the effect of a treatment. However, due to ethical or economic reasons, most of the social and economic policies (including a VAT) are not implemented randomly. The PI uses Regression Discontinuity Designs (RDD) to create the conditions for a local random experiment by exploiting behavior around a registration threshold imposed by law. This research makes several contributions. It analyzes the effects of a VAT by exploiting a VAT rule that creates the conditions for a local random experiment. Second, most of the previous studies on the effects of a VAT use aggregate data that often mask great deal of variability. Isolating causality using aggregate data is difficult due to many omitted variables that can affect growth. The PI uses rich micro data that allow establishment of a tighter link between a VAT and relevant outcomes. Third, there is a voluminous literature on firms? behavioral responses to direct taxation such as the corporate income tax. However, the literature on firms? behavioral responses to the indirect taxation such as a VAT is small. This study contributes to this small but important literature. Finally, at present, the full impact of a VAT is poorly understood. The results from this study will provide insights on how to improve the administration, enforcement, and ultimately the effectiveness of a VAT system.

增值税(VAT)是一种消费税。它是迄今为止最年轻的政府收入来源之一。增值税于1967年在巴西和丹麦首次引入，到2013年已有160多个国家采用了增值税。增值税迅速被采用的一个关键原因是，人们认为它是一种有效的税收工具。也就是说，增值税不会对企业的生产决策造成扭曲，这意味着政府可以用最低成本增加收入，而不会阻碍经济增长。这一预测的一个关键弱点是，它基于一个完美的税收合规和完美的税收执法环境，而这在实践中经常被违反。因此，增值税是否是一种有效的税收制度，归根结底是一个经验问题。然而，令人惊讶的是，几乎没有证据来评估增值税的这些效率属性。这项拟议的研究使用了一个商业数据库，其中包含了长达10年的数百万家公司的信息，以估计增值税对公司增长(例如，产出、就业、投资支出和生产率)和公司行为反应(例如，少报收入或多报成本以获得不适当的税收抵免)的因果影响。随机试验被认为是研究处理效果的黄金标准。然而，由于伦理或经济原因，大多数社会和经济政策(包括增值税)并不是随机实施的。PI使用回归不连续设计(RDD)，通过利用法律规定的注册阈值附近的行为，为局部随机实验创造条件。这项研究做出了几点贡献。它通过利用增值税规则来分析增值税的影响，该规则为当地的随机试验创造了条件。其次，之前大多数关于增值税影响的研究使用的是聚合数据，这些数据往往掩盖了很大的变异性。使用聚合数据分离因果关系很困难，因为许多被省略的变量可能会影响增长。PI使用丰富的微观数据，可以在增值税和相关结果之间建立更紧密的联系。第三，有大量关于公司的文献？对企业所得税等直接税的行为反应。然而，关于公司的文献呢？对增值税等间接税的行为反应很小。这项研究为这篇虽小但重要的文献做出了贡献。最后，目前人们对增值税的全面影响知之甚少。这项研究的结果将为如何改善增值税制度的管理、执法以及最终的有效性提供见解。