@techreport{Arntz2005Intersection,
abstract = {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.},
address = {Mannheim},
author = {Melanie Arntz and Ralf A. Wilke},
copyright = {http://www.econstor.eu/dspace/Nutzungsbedingungen},
keywords = {C89; C49; R10; 330; map intersection; administrative data; merging schemes; estimation; Regionalstatistik; Aggregation; Gebietsk\"{o}rperschaft; Sch\"{a}tzung; Deutschland},
language = {eng},
number = {05-20},
publisher = {Zentrum f\"{u}r Europ\"{a}ische Wirtschaftsforschung (ZEW)},
title = {Map Intersection Based Merging Schemes for Administrative Data Sources and an Application to Germany},
type = {ZEW Discussion Papers},
url = {http://hdl.handle.net/10419/24113},
year = {2005}
}
