five

Social Policy Simulation Database/Model (SPSDM) [Canada]

收藏
DataONE2023-09-28 更新2024-06-08 收录
下载链接:
https://search.dataone.org/view/sha256:575fca3e4b2c90aaa1f8ee00ab7edeebb338e044245cce5f62c7f00c3a34bc61
下载链接
链接失效反馈
官方服务:
资源简介:
The Social Policy Simulation Database and Model (SPSD/M) is a micro computer-based product designed to assist those interested in analyzing the financial interactions of governments and individuals in Canada. It can help one to assess the cost implications or income redistributive effects of changes in the personal taxation and cash transfer system. The SPSD is a non-confidential, statistically representative database of Canadian individuals in their family context, with enough information on each individual to compute taxes paid to and cash transfers received from government. The SPSM is a static accounting model which processes each individual and family on the SPSD/M, calculates Canadian federal and provincial taxes and transfers using legislated or proposed programs and algorithms, and reports on the results. It gives the user a high degree of control over the inputs and outputs to the model and can allow the user to modify existing tax/transfer programs or test proposals for entirely new programs. The model can be run using a visual interface and it comes with full documentation. Caution: This tool is specifically designed for analyzing the tax and transfer policies in Canada and cannot be used to analyze policies for other countries. Access SPSD/M Software Program Files Here

社会政策模拟数据库与模型(SPSD/M)是一款基于微型计算机的分析工具,专为协助关注加拿大政府与个人间财政互动关系的群体开展研究而设计。该工具可用于评估个人税收与现金转移支付制度调整所带来的成本影响或收入再分配效应。 SPSD数据库为非机密、具有统计代表性的加拿大个人及其家庭背景数据库,涵盖可用于计算个人向政府缴纳的税额及从政府获取的现金转移支付所需的全部相关信息。SPSM模型则为静态核算模型,可对SPSD/M中的个人与家庭数据进行处理,依据法定或拟议的政策方案及算法计算加拿大联邦与省级税收及转移支付额度,并输出计算结果。 该工具允许用户对模型的输入与输出参数拥有高度自主控制权,支持用户修改现有的税收/转移支付政策,或是针对全新政策方案开展模拟测试。其可通过可视化界面运行,并附带完整的官方文档。 注意事项:本工具专为加拿大税收与转移支付政策分析设计,不可用于其他国家的政策分析。 点击此处获取SPSD/M软件程序文件
创建时间:
2023-12-28
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作