Social Security Administration Public Use Microdata Files (SSAPUMF)

analyze the social security administration public use microdata files (ssapumf) with r the social security administration (ssa) must be overflowing with quiet heroes, because their public-use microdata files are as inconspicuous as they are thorough. sure, ssa publishes enough great statistical research of their own that outside researchers rarely find ourselves wanting more and fin er data that this agency can provide, but does that stop them from releasing detailed microdata as well? why no. no it does not. if you wake up one morning with a hankerin' to study the person-level lifetime cash-flows of fdr's legacy, roll up your sleeves and start right here. compared to the other data sets on asdfree.com, the social security administr ation public use microdata files (ssapumf) are as straightforward as it gets. you won't find complex sample survey data here, so just review the short-and-to-the-point data descriptions then calculate your statistics the way you would with other non-survey data. each of these files contain either one record per person or one record per person per year, and effortlessly generalize to the entire population of either social security number holders (most of the country) or social security recipients (just beneficiaries). the one-percent samples should be multiplied by 100 to get accurate nationwide count statistics an d the five-percent samples by 20, but ykta (my new urban dictionary entry). this new github repository contains one script: download all microdata.R download each zipped file directly onto your local computer load each file into a data.frame using a mixture of both fancery and schmantzery reproduce the overall count statistics provided in each respective data dictionary save each file as an R data file (.rda) for ultra-fast future use click here to view this lonely script for more detail about the social security administration public use microdata files (ssapumf), visit: < ul> the social security administration home page the social security administration open data initiative the national archives' history of social security notes: i skipped importing these n ew beneficiary data system (nbds) files because i broadly distrust data older than i am and you probably want these easy-to-use, far more current files anyway. confidential to sas, spss, stata, and sudaan users: no doubt they were very impressive when they originally became available. but so was the bone flute. time to transition to r. :D

使用R语言开展美国社会保障总署（Social Security Administration, SSA）公开使用微观数据文件（Social Security Administration Public Use Microdata Files, SSAPUMF）的分析工作。

美国社会保障总署想必藏着诸多无名英雄——其公开使用微观数据文件虽低调内敛，却兼具极高的完备性与细致度。诚然，总署自身已发布了大量优质统计研究成果，外部研究者鲜有感到数据或精细化程度不足的情况，但这是否会阻碍其发布详细的微观数据呢？答案显然是否定的。倘若某日清晨你萌生了研究富兰克林·D·罗斯福（Franklin D. Roosevelt, FDR）政策遗产下的个人终身现金流量的想法，不妨从此处着手，大展拳脚。

相较于asdfree.com上的其他数据集，SSAPUMF堪称最为直观易用的一类。本数据集不含复杂的抽样调查数据，仅需查阅简洁明了的数据说明文档，即可按照处理其他非调查类数据的方式开展统计计算。每份文件均以单条记录对应单一个体，或以单条记录对应单一个体单一年度的形式组织，可轻松外推至两类群体：一是持有社会保障号码的人群（覆盖美国绝大多数人口），二是社会保障受益人群（仅指领取福利者）。1%抽样样本需乘以100以得到准确的全国性计数统计结果，5%抽样样本则需乘以20——这一点想必你早已了然于心（这将成为我新加入城市词典的词条）。

本全新GitHub仓库仅包含一个脚本：download all microdata.R，其功能涵盖：直接将所有压缩格式的微观数据文件下载至本地计算机；通过巧妙的代码实现将每份文件加载为R语言数据框（data.frame）；复现各数据字典中提供的总体计数统计结果；将每份文件保存为R数据格式文件（.rda），以便后续实现超快速调用。如需查看此脚本的更多细节，或了解更多关于SSAPUMF的信息，请访问：
<ul>
<li>美国社会保障总署官网</li>
<li>美国社会保障总署开放数据计划</li>
<li>美国国家档案馆社会保障历史档案</li>
</ul>

注：本脚本未导入新版受益人数据系统（New Beneficiary Data System, NBDS）文件，原因在于我本人对年代久远的数据普遍持保留态度，且相较而言，你更适合使用这些易用性更强、时效性更佳的数据集。

致SAS、SPSS、Stata及SUDAAN用户：诚然，这些工具刚推出时曾令人眼前一亮，但正如骨笛一般，早已过时。是时候转向R语言了：D