Data Center on Fiscal Policy, Poverty, and Inequality

联合国？可持续发展目标(SDGs)要求所有国家承诺消除贫困和减少不平等。为了实现这一目标，各国政府和政策制定者需要工具来评估其税收和转移支付系统在实现这些目标方面的有效性。公平承诺(CEQ)研究所收集和分析全球60多个国家的税收和转移支付系统数据，以评估促进公平增长、扩大机会和减少不平等的政策的效率。研究人员和政策制定者也可以使用该数据集。该研究项目将开发一种最先进的可视化工具以及STATA模块，使CEQ研究所的数据易于获取，并对研究人员、政策制定者和公众有用。它还将开发在线培训视频，以帮助CEQ数据的用户。通过研究人员可以用来分析一个国家的税收和转移支付的软件，以及允许用户比较60多个国家已经取得的结果的最先进的数据可视化，CEQ数据中心将为政策制定者提供一个可信的标准，以衡量一个国家的税收和转移支付系统在减少贫困和为所有人提供公平机会方面的有效性。除了改善政府？通过在全球范围内努力实现稳定和公平的增长，这项研究的结果还将使美国成为促进包容性增长、减少贫困和不平等的全球领导者。拟议的研究项目将开发基于Tableau格式的可视化模块，编写Enhance Stata模块以分析CEQ数据集及其微观组成部分，并制作关于使用这些数据集的培训视频。这些活动将提高环境质量数据对研究人员和政策制定者的可得性和实用性。通过CEQ数据中心提供的新成果和微数据集的交互式数据可视化，再加上经改进的CEQ Stata包和培训视频，将使这些数据更容易获取和有用。这些工具的开发将使政策制定者、从业者和学者能够分析：(I)整个税收和转移支付系统及其组成部分对贫困的影响；(Ii)不同公共计划在减少贫困方面相对于同等支出所能达到的效果的有效性；(Iii)税收负担和政府支出的好处的发生率，以及这些好处是如何在社会经济群体和地理区域中分配的；以及(Iv)穷人缴纳的税款是否或在多大程度上超过了他们从政府福利中获得的税收。这项研究的结果不仅将指导各国政府在全球范围内制定更有效的反贫困计划，还将使美国成为实现公平和稳定增长的政策的全球领导者。这一奖项反映了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。

The United Nations? Sustainable Development Goals (SDGs) requires all countries to commit themselves to end poverty and reduce inequalities. To make this possible, governments and policymakers need tools to assess the effectiveness of their tax and transfer systems at achieving these goals. The Commitment to Equity (CEQ) Institute collects and analyzes data on tax and transfer systems in over 60 countries around the world to assess the efficiency of policies that promote equitable growth, expand opportunities, and reduce inequality. This data set is also made available to researchers and policy makers. This research project will develop a state of the art visualization tool as well as STATA modules to make the CEQ Institute data easily accessible and useful to researchers, policy makers, and the public. It will also develop on-line training videos to help users of the CEQ data. Through software that can be used by researchers to analyze taxes and transfers in a country, as well as state-of-the-art data visualizations that allows users to compare results already produced in more than 60 countries, the CEQ Data Center will provide policymakers with a credible yardstick to measure the effectiveness of a country's tax and transfer system in reducing poverty and providing equitable opportunities for all. In addition to improving governments? efforts world-wide to achieve stable and equitable growth, the results of this research would also establish the US as a global leader in promoting inclusive growth and reducing poverty and inequality. The proposed research project will develop visualization modules based on the Tableau format, write enhance STATA modules to analyze the CEQ data set and its micro components and develop training videos on the use of the data sets. These activities will enhance the availability and usefulness of the CEQ data to researchers and policy makers. The interactive data visualizations of novel results and microdata sets available through the CEQ Data Center combined with the enhanced CEQ STATA Package and training videos will make the data easily accessible and useful. Development of these tools will advance knowledge by enabling policymakers, practitioners, and scholars to analyze: (i) the poverty impacts of the tax and transfer system as a whole and of its components; (ii) the effectiveness, relative to what could have been achieved with the same amount of spending, of different public programs at reducing poverty; (iii) incidence of the burden of taxation and benefits from government spending, as well as how these benefits are distributed across socioeconomic groups and geographic areas; and (iv) whether or to what extent the poor pay more in taxes than they receive from government benefits. The results of this research will not only guide governments in developing more effective anti-poverty programs world-wide; they will also establish the US as the global leader in policies to achieve equitable and stable growth.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.