Different Regions with Few Transaction - An Approach of Systematization

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Matthias Soot
  • Alexandra Weitkamp
  • Hamza Alkhatib
  • Alexander Dorndorf
  • Anja Jeschke

Organisationseinheiten

Externe Organisationen

  • Technische Universität Dresden
Forschungs-netzwerk anzeigen

Details

OriginalspracheDeutsch
Titel des SammelwerksFIG Working Week 2017
UntertitelSurveying the world of tomorrow - From digitalisation to augmented reality
ISBN (elektronisch)978-87-92853-61-5
PublikationsstatusVeröffentlicht - 2017

Abstract

Real estate valuation is mainly based on purchase prices in Germany. However, in some submarkets only a few transactions take place. The reform of the property tax in the next years creates the necessity of accurate and nationwide real estate market data for mass appraisal. The question arises whether all submarkets with few transactions work the same way. There is a possibility for differentiation between characteristic features.In this paper, an investigation of these German real estate submarkets ispresented. In a qualitative expert’s survey,we determined a definition and categorization of those submarkets with the aim to derive different valuation approaches for different regions. The statements are derived with a Grounded Theory Method (GTM). The categorization is realizeddue to thesmall numbers of transactions as well as different spatial and functional submarkets. Two main categories are introduced. Spatial submarkets with a lack in demand and submarkets with lack in offer of real estates. A subcategorization is carried out by spatial types like urban and rural areas. For instance,some rural areas are typical areas with a lack in demand where one can find only few purchases. Depending on the derived categories,we investigate the availability and quality of alternative data. The focus is on offer prices, experts' knowledge and rents. First results of investigation on this topic are shown. For future work,this information can be used to find or develop different approaches of combiningavailable data and give a better view on the real estate market

Zitieren

Different Regions with Few Transaction - An Approach of Systematization. / Soot, Matthias; Weitkamp, Alexandra; Alkhatib, Hamza et al.
FIG Working Week 2017: Surveying the world of tomorrow - From digitalisation to augmented reality. 2017.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Soot, M, Weitkamp, A, Alkhatib, H, Dorndorf, A & Jeschke, A 2017, Different Regions with Few Transaction - An Approach of Systematization. in FIG Working Week 2017: Surveying the world of tomorrow - From digitalisation to augmented reality.
Soot, M., Weitkamp, A., Alkhatib, H., Dorndorf, A., & Jeschke, A. (2017). Different Regions with Few Transaction - An Approach of Systematization. In FIG Working Week 2017: Surveying the world of tomorrow - From digitalisation to augmented reality
Soot M, Weitkamp A, Alkhatib H, Dorndorf A, Jeschke A. Different Regions with Few Transaction - An Approach of Systematization. in FIG Working Week 2017: Surveying the world of tomorrow - From digitalisation to augmented reality. 2017
Soot, Matthias ; Weitkamp, Alexandra ; Alkhatib, Hamza et al. / Different Regions with Few Transaction - An Approach of Systematization. FIG Working Week 2017: Surveying the world of tomorrow - From digitalisation to augmented reality. 2017.
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AU - Weitkamp, Alexandra

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AU - Dorndorf, Alexander

AU - Jeschke, Anja

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N2 - Real estate valuation is mainly based on purchase prices in Germany. However, in some submarkets only a few transactions take place. The reform of the property tax in the next years creates the necessity of accurate and nationwide real estate market data for mass appraisal. The question arises whether all submarkets with few transactions work the same way. There is a possibility for differentiation between characteristic features.In this paper, an investigation of these German real estate submarkets ispresented. In a qualitative expert’s survey,we determined a definition and categorization of those submarkets with the aim to derive different valuation approaches for different regions. The statements are derived with a Grounded Theory Method (GTM). The categorization is realizeddue to thesmall numbers of transactions as well as different spatial and functional submarkets. Two main categories are introduced. Spatial submarkets with a lack in demand and submarkets with lack in offer of real estates. A subcategorization is carried out by spatial types like urban and rural areas. For instance,some rural areas are typical areas with a lack in demand where one can find only few purchases. Depending on the derived categories,we investigate the availability and quality of alternative data. The focus is on offer prices, experts' knowledge and rents. First results of investigation on this topic are shown. For future work,this information can be used to find or develop different approaches of combiningavailable data and give a better view on the real estate market

AB - Real estate valuation is mainly based on purchase prices in Germany. However, in some submarkets only a few transactions take place. The reform of the property tax in the next years creates the necessity of accurate and nationwide real estate market data for mass appraisal. The question arises whether all submarkets with few transactions work the same way. There is a possibility for differentiation between characteristic features.In this paper, an investigation of these German real estate submarkets ispresented. In a qualitative expert’s survey,we determined a definition and categorization of those submarkets with the aim to derive different valuation approaches for different regions. The statements are derived with a Grounded Theory Method (GTM). The categorization is realizeddue to thesmall numbers of transactions as well as different spatial and functional submarkets. Two main categories are introduced. Spatial submarkets with a lack in demand and submarkets with lack in offer of real estates. A subcategorization is carried out by spatial types like urban and rural areas. For instance,some rural areas are typical areas with a lack in demand where one can find only few purchases. Depending on the derived categories,we investigate the availability and quality of alternative data. The focus is on offer prices, experts' knowledge and rents. First results of investigation on this topic are shown. For future work,this information can be used to find or develop different approaches of combiningavailable data and give a better view on the real estate market

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