Map Intersection Based Merging Schemes for Administrative Data Sources and an Application to Germany
33 Pages Posted: 26 Apr 2005 Last revised: 18 Aug 2008
Date Written: 2005
Abstract
In many situations the applied researcher wants to combine different data sources without knowing the exact link and merging rule. This paper considers different interpolation methods for interpolating attributes from German labor office districts to German counties and vice versa. In particular, we apply dasymetric weighting as an alternative to simple area weighting both of which are based on estimated intersection areas. Since these estimates can be spurious, our theoretical framework extends the well-known Goodchild and Lam (1980) approach to the presence of measurement error in the underlying maps. We also present conditions under which the choice of interpolation method does not matter and confirm the theoretical results with a simulation study. Our application to German administrative data suggests robustness of estimation results of interpolated attributes with respect to the choice of interpolation method. We deliver weighting matrices for regional data sources of the two largest German data producers.
Keywords: Map intersection, administrative data, merging schemes, estimation
JEL Classification: C49, C89, R10
Suggested Citation: Suggested Citation
Do you have negative results from your research you’d like to share?
Recommended Papers
-
By Bernd Fitzenberger and Ralf A. Wilke
-
New Estimates of the Duration and Risk of Unemployment for West-Germany
-
Censored Quantile Regressions and the Length of Unemployment Periods in West Germany
By Elke Lüdemann, Ralf A. Wilke, ...
-
Reform of Unemployment Compensation in Germany: A Nonparametric Bounds Analysis Using Register Data
By Sokbae Lee and Ralf A. Wilke
-
Bounds in Competing Risks Models and the War on Cancer
By Bo E. Honoré and Adriana Lleras-muney
-
By Martin Biewen and Ralf A. Wilke
-
Using Quantile Regression for Duration Analysis
By Bernd Fitzenberger and Ralf A. Wilke
-
By Bernd Fitzenberger and Ralf A. Wilke