Background: To enhance its data capability, Australia recently set up a longitudinal administrative micro-dataset, the Person Level Integrated Data Asset (PLIDA). Objective: To ensure that users in both scholarly and applied settings understand how PLIDA can be reliably used, we assess its Combined Location Module, which provides place of residence by combining three administrative datasets since 2006. Methods: Using descriptive statistics and regression analysis, we compare the population coverage of PLIDA to the census, estimate the incidence of missing values at various spatial scales, quantify spatial mismatch between PLIDA and the census, and compare the intensity, selectivity, and spatial patterns of internal migration between the two datasets. Results: The PLIDA population is higher than the census population, but very remote populations and recently arrived and temporary migrants are under-represented. We uncover a high mismatch rate between PLIDA and the census for small spatial units, particularly among highly mobile groups. As a result, PLIDA overestimates the level of internal migration and slightly distorts migration age patterns at young ages. Migration patterns are broadly comparable at large spatial scales, except for rapidly growing peri-urban regions, inner cities with short-term residents, and regions with a seasonal or temporary workforce. Conclusions: PLIDA can be used in some applied settings outside demography if the spatial scale of analysis is aggregated, the analysis is restricted to census respondents, or the analysis is limited to well-represented groups. However, in its current form PLIDA is not suitable for demographic applications such as internal migration estimates, and we discourage its use for population projections. Contribution: Researchers need to be aware of the pitfalls of administrative data to knowingly decide on appropriate use. We recommend researchers to keep abreast of developments by the Australia Bureau of Statistics, which is continuously improving PLIDA.

中文翻译：

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使用行政数据进行内部移民研究的陷阱和好处：澳大利亚人员级别综合数据资产 (PLIDA) 的评估（作者：Aude Bernard、Jing Wu、Tom Wilson、Neil Argent、Tomasz Zając、Anthony Kimpton）


背景：为增强数据能力，澳大利亚最近建立了纵向行政微观数据集——人员级综合数据资产（PLIDA）。目标：为了确保学术和应用环境中的用户了解如何可靠地使用 PLIDA，我们评估了其组合位置模块，该模块通过组合自 2006 年以来的三个行政数据集来提供居住地。 方法：使用描述性统计和回归分析，我们将 PLIDA 的人口覆盖率与人口普查进行比较，估计不同空间尺度上缺失值的发生率，量化 PLIDA 与人口普查之间的空间不匹配，并比较两个数据集之间内部迁移的强度、选择性和空间模式。结果：PLIDA 人口高于普查人口，但非常偏远的人口以及最近抵达和临时移民的代表性不足。我们发现 PLIDA 与小空间单位的人口普查之间存在很高的不匹配率，特别是在高度流动的群体中。因此，PLIDA 高估了国内迁移水平，并略微扭曲了年轻时的迁移年龄模式。除了快速增长的城郊地区、拥有短期居民的内城以及拥有季节性或临时劳动力的地区外，移民模式在大空间尺度上大致具有可比性。结论：如果分析的空间尺度是聚合的，分析仅限于人口普查受访者，或者分析仅限于代表性良好的群体，则 PLIDA 可用于人口学以外的一些应用环境。然而，目前形式的 PLIDA 不适合人口统计应用，例如内部移民估计，我们不鼓励将其用于人口预测。 贡献：研究人员需要意识到管理数据的陷阱，才能明智地决定适当的使用。我们建议研究人员及时了解澳大利亚统计局的最新动态，该局正在不断改进 PLIDA。