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https://dx.doi.org/10.18452/19...
Research . 2019
License: CC BY NC ND
Data sources: Datacite
EconStor
Research . 2019
License: CC BY NC ND
Data sources: EconStor
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Land value appraisal using statistical methods

Authors: Kolbe, Jens; Schulz, Rainer; Wersing, Martin; Werwatz, Axel;

Land value appraisal using statistical methods

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.

Country
Germany
Keywords

630 Landwirtschaft und verwandte Bereiche, R51, R52, ddc:330, semiparametric regression, ddc:630, R32, nonparametric regression, land value, mass appraisal, C14, H20, H10, C21

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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