Data Center on Fiscal Policy, Poverty, and Inequality

联合国？可持续发展目标（SDG）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效率。 这套数据也提供给研究人员和决策者。 该研究项目将开发最先进的可视化工具以及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。 它还将制作在线培训录像，以帮助环境质量调查表数据的用户。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，以及最先进的数据可视化，使用户能够比较60多个国家已经产生的结果，CEQ数据中心将为决策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？这项研究的结果将有助于美国在全球范围内努力实现稳定和公平的增长，并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，编写增强的STATA模块来分析CEQ数据集及其微观组件，并开发有关数据集使用的培训视频。 这些活动将使研究人员和决策者更容易获得环境质量调查表的数据，并使其更加有用。 通过CEQ数据中心提供的新结果和微观数据集的交互式数据可视化，结合增强的CEQ STATA包和培训视频，将使数据易于访问和有用。 这些工具的开发将通过使决策者、从业者和学者能够分析以下内容来增进知识：（一）税收和转移支付制度作为一个整体及其组成部分对贫困的影响;（二）不同公共减贫方案相对于相同支出所能实现的效果;（iii）税收负担和政府开支所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;（iv）穷人缴纳的税款是否多于他们从政府得到的利益，或在多大程度上多于他们从政府得到的利益。 这项研究的成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，还将确立美国在实现公平和稳定增长政策方面的全球领导地位。该奖项反映了NSF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.