Land value appraisal using statistical methods

Jens Kolbe, Rainer Schulz, Martin Wersing and Axel Werwatz

No 07 (2019), FORLand Working Papers from Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation"

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.

Keywords: land value; mass appraisal; nonparametric regression; semiparametric regression (search for similar items in EconPapers)
JEL-codes: C14 C21 H10 H20 R32 R51 R52 (search for similar items in EconPapers)
Date: 2019
New Economics Papers: this item is included in nep-acc
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:zbw:forlwp:072019

DOI: 10.18452/19722

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