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Map Intersection Based Merging Schemes for Administrative Data Sources and an Application to Germany

机译:基于行程数据源的基于交叉口的合并方案和德国的应用程序

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摘要

In many situations the applied researcher wants to combine different data sources without knowing the exact link and merging rule. This paper introduces a theoretical framework how two different regional administrative data sources can be merged. It presents different merging schemes based on the area size of intersections between both regional entities. Estimates of intersection areas are derived from a digital map intersection. The theoretical framework derives conditions for the unbiasedness of estimated intersections and merging rules. The paper also presents conditions under which the choice of merging rule does not matter and illustrates the theoretical results with a simulation study. An application to German counties and federal employment office districts illustrates the applicability of the approach. It delivers merging schemes for regional data sources of the federal German statistical office and of the federal German employment office.
机译:在许多情况下,应用研究人员希望在不知道确切链接和合并规则的情况下合并不同的数据源。本文介绍了一个理论框架,如何将两个不同的区域行政数据源进行合并。它基于两个区域实体之间的交叉点的面积大小,提出了不同的合并方案。交叉点面积的估计值是从数字地图交叉点得出的。该理论框架为估计交集和合并规则的无偏性得出了条件。本文还提出了合并规则的选择无关紧要的条件,并通过仿真研究说明了理论结果。向德国各县和联邦职业介绍所地区的申请说明了该方法的适用性。它为德国联邦统计局和德国联邦就业局的区域数据源提供合并方案。

著录项

  • 作者

    Melanie Arntz; Ralf A. Wilke;

  • 作者单位
  • 年度 2005
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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