Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/207035 
Erscheinungsjahr: 
2019
Schriftenreihe/Nr.: 
Research Papers in Economics No. 3/19
Verlag: 
Universität Trier, Fachbereich IV - Volkswirtschaftslehre, Trier
Zusammenfassung: 
Our paper uses micro price data collected from Germany's Consumer Price Index to compile a highly disaggregated regional price index for the 402 counties and cities of Germany. We introduce a multi-stage version of the weighted Country-Product- Dummy method. The unique quality of our price data allows us to depart from previous spatial price comparisons and to compare only exactly identical products. We find that the price levels are spatially autocorrelated and largely driven by the cost of housing. The price level in the most expensive region is about 27 percent higher than in the cheapest region.
Schlagwörter: 
spatial price comparison
regional price index
PPP
CPD-method
hedonic regression
consumer price data
JEL: 
C21
C43
E31
O18
R10
Dokumentart: 
Working Paper

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