Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-6629
Main Title: Identifying Berlin’s land value map using adaptive weights smoothing
Author(s): Kolbe, Jens
Schulz, Rainer
Wersing, Martin
Werwatz, Axel
Type: Article
Language Code: en
Is Part Of: 10.14279/depositonce-6151
Abstract: We use adaptive weights smoothing (AWS) of Polzehl and Spokoiny (J R Stat Soc Ser B 62:335–354, 2000; Ann Stat 31:30–57, 2003; Probab Theory Relat Fields 135:335–362, 2006) to estimate a map of land values for Berlin, Germany. Our data are prices of undeveloped land that was transacted between 1996 and 2009. Even though the observed land price is an indicator of the respective land value, it is influenced by transaction noise. The iterative AWS applies piecewise constant regression to reduce this noise and tests at each location for constancy at the margin. If not rejected, further observations are included in the local regression. The estimated land value map conforms overall well with expert-based land values. Our application suggests that the transparent AWS could prove a useful tool for researchers and real estate practitioners alike.
URI: https://depositonce.tu-berlin.de//handle/11303/7380
http://dx.doi.org/10.14279/depositonce-6629
Issue Date: 2015
Date Available: 29-Jan-2018
DDC Class: 330 Wirtschaft
333 Boden- und Energiewirtschaft
Subject(s): land value
adaptive weight smoothing
spatial modeling
Journal Title: Computational statistics
Publisher: Springer
Publisher Place: Berlin ; Heidelberg
Volume: 30
Issue: 3
Publisher DOI: 10.1007/s00180-015-0559-9
Page Start: 767
Page End: 790
ISSN: 0943-4062
Appears in Collections:FG Ökonometrie und Wirtschaftsstatistik » Publications

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