Refining Public Policies with Machine Learning: The Case of Tax Auditing
收藏NBER2022-12-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w30777
下载链接
链接失效反馈官方服务：
资源简介：
We study the extent to which ML techniques can be used to improve tax auditing efficiency using administrative data, without the need of randomized audits. Using Italy's population data on sole proprietorship tax returns, audits and their outcome, we develop a new approach to address the so called
提供机构：
美国国家经济研究局
创建时间：
2022-12-01
