University of Washington.
Popul Stud (Camb). 2022 Jul;76(2):253-272. doi: 10.1080/00324728.2022.2085776.
In any month, administrative data collected by government agencies contain a fraction of the polity's adults, namely those who have interacted with government agencies in that month. For researchers and policymakers who want to evaluate questions that require a spatial location of the whole population of adults at a given time (e.g. job-residence spatial mismatch, impacts of local policies), these fragmentary records are insufficient. Combining administrative data from several agencies in the State of Washington, United States (US), we impute residential histories by parameterizing the 'decay' in maintenance of an observed address. This process yields an imputed population whose demography and geographic distribution matches well with survey estimates. This work uses driving licence, voter, social services, and birth records to append address locations to Unemployment Insurance data, a process that could be replicated with administrative records in other US states and countries with sporadic address data from various agencies.
在任何一个月,政府机构收集的行政数据只包含该地区成年人的一小部分,即那些在那个月与政府机构有过互动的成年人。对于那些希望评估需要在特定时间内对所有成年人进行空间定位的问题的研究人员和政策制定者来说(例如,工作-居住空间不匹配、地方政策的影响),这些零碎的记录是不够的。我们通过参数化观察到的地址的“衰减”来推断居住历史,从而结合了美国华盛顿州的几个机构的行政数据。这个过程产生了一个推断的人口,其人口统计学和地理分布与调查估计相符。这项工作使用驾驶执照、选民、社会服务和出生记录将地址位置附加到失业保险数据中,这个过程可以在美国其他州和其他国家的行政记录中复制,这些国家有来自不同机构的零星地址数据。