Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/213061
Authors: 
Kolbe, Jens
Schulz, Rainer
Wersing, Martin
Werwatz, Axel
Year of Publication: 
2019
Series/Report no.: 
FORLand-Working Paper No. 07 (2019)
Abstract: 
The taxation of property based on market values requires frequent appraisals for a large number of properties. In light of the recent property tax reform discussion in Germany, it has been argued that a valuebased tax therefore cannot be implemented at a reasonable cost. In several other countries, however, mass appraisal systems based on statistical methods are used for property tax assessments. In this paper, we show how this could in principle be done in Germany, using transactions data that local surveyor commissions are obliged to collect by law. We discuss the regression techniques for estimating land values from such data and illustrate them by applying them to data from Berlin, Germany. We find that the methods are capable of producing land value estimates that match up well with expert based assessments.
Subjects: 
land value
mass appraisal
nonparametric regression
semiparametric regression
JEL: 
C14
C21
H10
H20
R32
R51
R52
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by-nc-nd/3.0/de/
Document Type: 
Working Paper

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