IDEAS home Printed from https://ideas.repec.org/a/spr/compst/v30y2015i3p767-790.html
   My bibliography  Save this article

Identifying Berlin’s land value map using adaptive weights smoothing

Author

Listed:
  • Jens Kolbe
  • Rainer Schulz
  • Martin Wersing
  • Axel Werwatz

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. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2015. "Identifying Berlin’s land value map using adaptive weights smoothing," Computational Statistics, Springer, vol. 30(3), pages 767-790, September.
  • Handle: RePEc:spr:compst:v:30:y:2015:i:3:p:767-790
    DOI: 10.1007/s00180-015-0559-9
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00180-015-0559-9
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s00180-015-0559-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kevin A. Bryan & Pierre-Daniel G. Sarte, 2009. "Semiparametric estimation of land price gradients using large data sets," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 95(Win), pages 53-74.
    2. Gabriel Ahlfeldt & Wolfgang Maennig, 2010. "Impact of sports arenas on land values: evidence from Berlin," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 44(2), pages 205-227, April.
    3. Douglas B. Diamond, Jr., 1980. "The Relationship between Amenities and Urban Land Prices," Land Economics, University of Wisconsin Press, vol. 56(1), pages 21-32.
    4. Kennedy, Peter, 1983. "Logarithmic Dependent Variables and Prediction Bias," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 45(4), pages 389-392, November.
    5. J. Polzehl & V. G. Spokoiny, 2000. "Adaptive weights smoothing with applications to image restoration," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(2), pages 335-354.
    6. Raphael W. Bostic & Stanley D. Longhofer & Christian L. Redfearn, 2007. "Land Leverage: Decomposing Home Price Dynamics," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 35(2), pages 183-208, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fiebig, Ewelina Marta, 2021. "On data-driven choice of λ in nonparametric Gaussian regression via Propagation–Separation approach," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
    2. Ahlfeldt, Gabriel M. & Heblich, Stephan & Seidel, Tobias, 2023. "Micro-geographic property price and rent indices," Regional Science and Urban Economics, Elsevier, vol. 98(C).
    3. Ostap Okhrin & Stefan Trück, 2015. "Editorial to the special issue on Applicable semiparametrics of computational statistics," Computational Statistics, Springer, vol. 30(3), pages 641-646, September.
    4. Yun Hye Hwang & Ivan Kurniawan Nasution & Deepika Amonkar & Amy Hahs, 2020. "Urban Green Space Distribution Related to Land Values in Fast-Growing Megacities, Mumbai and Jakarta–Unexploited Opportunities to Increase Access to Greenery for the Poor," Sustainability, MDPI, vol. 12(12), pages 1-17, June.
    5. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2019. "Land value appraisal using statistical methods," FORLand Working Papers 07 (2019), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    6. Stefan Seifert & Christoph Kahle & Silke Hüttel, 2021. "Price Dispersion in Farmland Markets: What Is the Role of Asymmetric Information?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1545-1568, August.
    7. Helbing, Georg & Shen, Zhiwei & Odening, Martin & Ritter, Matthias, 2017. "Estimating Location Values of Agricultural Land," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 66(3), September.
    8. Braun, Stefanie & Lee, Gabriel S., 2021. "The prices of residential land in German counties," Regional Science and Urban Economics, Elsevier, vol. 89(C).
    9. repec:hum:wpaper:sfb649dp2017-002 is not listed on IDEAS
    10. Kumhof, Michael & Tideman, Nicolaus & Hudson, Michael & Goodhart, Charles, 2021. "Post-Corona Balanced-Budget Super-Stimulus: The Case for Shifting Taxes onto Land," CEPR Discussion Papers 16652, C.E.P.R. Discussion Papers.
    11. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2019. "Bodenwertermittlung mit statistischen Methoden [Land value appraisal using statistical methods]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 131-154, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:hum:wpaper:sfb649dp2015-003 is not listed on IDEAS
    2. Nichols, Joseph B. & Oliner, Stephen D. & Mulhall, Michael R., 2013. "Swings in commercial and residential land prices in the United States," Journal of Urban Economics, Elsevier, vol. 73(1), pages 57-76.
    3. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2019. "Land value appraisal using statistical methods," FORLand Working Papers 07 (2019), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    4. Michael R. Mulhall & Joseph B. Nichols & Stephen D. Oliner, 2010. "Commercial and residential land prices across the United States," Finance and Economics Discussion Series 2010-16, Board of Governors of the Federal Reserve System (U.S.).
    5. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2019. "Bodenwertermittlung mit statistischen Methoden [Land value appraisal using statistical methods]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 131-154, November.
    6. Kanis Saengchote & Voraprapa Nakavachara & Yishuang Xu, 2023. "Capitalising the Network Externalities of New Land Supply in the Metaverse," PIER Discussion Papers 203, Puey Ungphakorn Institute for Economic Research.
    7. Diewert, Erwin & Shimizu, Chihiro, 2015. "Residential Property Price Indices For Tokyo," Macroeconomic Dynamics, Cambridge University Press, vol. 19(8), pages 1659-1714, December.
    8. David F. Hendry, 2013. "Econometric Modelling: The ‘Consumption Function’ In Retrospect," Scottish Journal of Political Economy, Scottish Economic Society, vol. 60(5), pages 495-522, November.
    9. Kanis Saengchote & Voraprapa Nakavachara & Yishuang Xu, 2023. "Capitalising the Network Externalities of New Land Supply in the Metaverse," Papers 2303.17180, arXiv.org.
    10. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2012. "Location, Location, Location: Extracting Location Value from House Prices," Discussion Papers of DIW Berlin 1216, DIW Berlin, German Institute for Economic Research.
    11. Emilio Augusto Coelho-Barros & Jorge Alberto Achcar & Josmar Mazucheli, 2010. "Longitudinal Poisson modeling: an application for CD4 counting in HIV-infected patients," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(5), pages 865-880.
    12. Chikish, Yulia & Humphreys, Brad R. & Nowak, Adam, 2019. "Sports Arenas, Teams and Property Values: Temporary and Permanent Shocks to Local Amenity Flows," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 49(1), February.
    13. Larson, William D. & Shui, Jessica, 2022. "Land valuation using public records and kriging: Implications for land versus property taxation in cities," Journal of Housing Economics, Elsevier, vol. 58(PA).
    14. Yongsheng Jiang & Dong Zhao & Andrew Sanderford & Jing Du, 2018. "Effects of Bank Lending on Urban Housing Prices for Sustainable Development: A Panel Analysis of Chinese Cities," Sustainability, MDPI, vol. 10(3), pages 1-16, February.
    15. Alain Chaney & Martin Hoesli, 2015. "Transaction-Based and Appraisal-Based Capitalization Rate Determinants," International Real Estate Review, Global Social Science Institute, vol. 18(1), pages 1-43.
    16. Geffray, S. & Klutchnikoff, N. & Vimond, M., 2016. "Illumination problems in digital images. A statistical point of view," Journal of Multivariate Analysis, Elsevier, vol. 150(C), pages 191-213.
    17. Čížek, Pavel & Koo, Chao Hui, 2021. "Jump-preserving varying-coefficient models for nonlinear time series," Econometrics and Statistics, Elsevier, vol. 19(C), pages 58-96.
    18. Billé, AG & Salvioni, C. & Benedetti, R., 2015. "Spatial Heterogeneity In Production Functions Models," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212662, European Association of Agricultural Economists.
    19. Daniel Melser & Robert J. Hill, 2019. "Residential Real Estate, Risk, Return and Diversification: Some Empirical Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 59(1), pages 111-146, July.
    20. Wolfgang Maennig, 2017. "Major Sports Events: Economic Impact," Working Papers 058, Chair for Economic Policy, University of Hamburg.
    21. Brad R. Humphreys & Adam Nowak, 2015. "Professional Sports Facilities, Teams and Property Values: Evidence from Seattle's Key Arena," Working Papers 15-06, Department of Economics, West Virginia University.

    More about this item

    Keywords

    Land value; Adaptive weight smoothing; Spatial modeling;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:compst:v:30:y:2015:i:3:p:767-790. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.