Data Center on Fiscal Policy, Poverty, and Inequality

联合国？可持续发展目标要求所有国家致力于消除贫困和减少不平等。为了实现这一目标，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。公平承诺研究所（CEQ）收集并分析全球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效率。该数据集也可供研究人员和决策者使用。该研究项目将开发一个最先进的可视化工具和STATA模块，使CEQ研究所的数据易于访问，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录象，以帮助环境质量数据的用户。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，以及使用户可以比较60多个国家已经产生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靠的标准，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？这项研究的结果还将确立美国在促进包容性增长、减少贫困和不平等方面的全球领导者地位。拟议的研究项目将开发基于Tableau格式的可视化模块，编写增强的STATA模块来分析CEQ数据集及其微观组成部分，并开发关于使用数据集的培训视频。这些活动将提高环境质量数据对研究人员和决策者的可用性和有用性。通过CEQ数据中心提供的新结果和微数据集的交互式数据可视化，加上增强的CEQ STATA包和培训视频，将使数据易于获取和有用。这些工具的开发将通过使政策制定者、从业者和学者能够分析：(i)税收和转移支付系统作为一个整体及其组成部分对贫困的影响；（ii）不同的公共项目在减少贫困方面的有效性，相对于同样数额的支出所能达到的效果；（iii）税收负担和政府支出带来的利益的发生率，以及这些利益如何在社会经济群体和地理区域之间分配；（四）穷人的税收是否或在多大程度上高于他们从政府福利中获得的收入。这项研究的结果不仅将指导各国政府在世界范围内制定更有效的反贫困计划；它们还将确立美国在实现公平和稳定增长的政策方面的全球领导者地位。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值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.